Index

_

__init__() (evalml.automl.AutoClassificationSearch method) (evalml.automl.AutoRegressionSearch method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor 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.pipelines.components.XGBoostRegressor method) (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner 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)

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) AutoClassificationSearch (class in evalml.automl) AutoRegressionSearch (class in evalml.automl)

B

BalancedAccuracyBinary (class in evalml.objectives)

BalancedAccuracyMulticlass (class in evalml.objectives) BinaryClassificationPipeline (class in evalml.pipelines)

C

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) component_graph (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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) confusion_matrix() (in module evalml.pipelines) convert_to_seconds() (in module evalml.utils) custom_hyperparameters (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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

decision_function() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary 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) describe() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor 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.pipelines.components.XGBoostRegressor method)

describe_pipeline() (evalml.automl.AutoClassificationSearch method) (evalml.automl.AutoRegressionSearch 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) drop_nan_target_rows() (in module evalml.preprocessing)

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) fit() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor 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.pipelines.components.XGBoostRegressor 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

get_component() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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_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.AutoClassificationSearch method) (evalml.automl.AutoRegressionSearch method) get_pipelines() (in module evalml.pipelines) get_random_seed() (in module evalml.utils) get_random_state() (in module evalml.utils) graph() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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_feature_importance() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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) GridSearchTuner (class in evalml.tuners)

H

handle_problem_types() (in module evalml.problem_types) hyperparameter_ranges (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor 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) (evalml.pipelines.components.XGBoostRegressor attribute)

hyperparameters (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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

import_or_raise() (in module evalml.utils) is_search_space_exhausted() (evalml.tuners.GridSearchTuner method) (evalml.tuners.RandomSearchTuner method) (evalml.tuners.SKOptTuner method) (evalml.tuners.Tuner method)

L

label_distribution() (in module evalml.preprocessing) 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.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.LinearRegressionPipeline static method) (evalml.pipelines.LogisticRegressionBinaryPipeline static method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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) MaxError (class in evalml.objectives) MCCBinary (class in evalml.objectives) MCCMulticlass (class in evalml.objectives) MedianAE (class in evalml.objectives) model_family (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor 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) (evalml.pipelines.components.XGBoostRegressor attribute)

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

N

name (evalml.pipelines.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor 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) (evalml.pipelines.components.XGBoostRegressor attribute)

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.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.MedianAE 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)

OneHotEncoder (class in evalml.pipelines.components) optimize_threshold() (evalml.objectives.AccuracyBinary method) (evalml.objectives.AUC method) (evalml.objectives.BalancedAccuracyBinary 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)

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.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor 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.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.RFBinaryClassificationPipeline method) (evalml.pipelines.RFMulticlassClassificationPipeline method) (evalml.pipelines.XGBoostBinaryPipeline method) (evalml.pipelines.XGBoostMulticlassPipeline method) (evalml.pipelines.components.CatBoostClassifier method) (evalml.pipelines.components.CatBoostRegressor 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.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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) 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)

S

save() (evalml.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.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.MedianAE 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.pipelines.BinaryClassificationPipeline method) (evalml.pipelines.CatBoostBinaryClassificationPipeline method) (evalml.pipelines.CatBoostMulticlassClassificationPipeline method) (evalml.pipelines.CatBoostRegressionPipeline method) (evalml.pipelines.ClassificationPipeline method) (evalml.pipelines.LinearRegressionPipeline method) (evalml.pipelines.LogisticRegressionBinaryPipeline method) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.AutoClassificationSearch method) (evalml.automl.AutoRegressionSearch 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.CatBoostBinaryClassificationPipeline attribute) (evalml.pipelines.CatBoostMulticlassClassificationPipeline attribute) (evalml.pipelines.CatBoostRegressionPipeline attribute) (evalml.pipelines.LinearRegressionPipeline attribute) (evalml.pipelines.LogisticRegressionBinaryPipeline attribute) (evalml.pipelines.LogisticRegressionMulticlassPipeline 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.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor 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.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

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)