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.NoVarianceDataCheck 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns 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.Imputer 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.TextFeaturizer 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) allowed_model_families() (in module evalml.pipelines.components.utils) 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) CatBoostClassifier (class in evalml.pipelines.components) 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns 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.Imputer 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.TextFeaturizer 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) custom_name (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline 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) DateTimeFeaturizer (class in evalml.pipelines.components) 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns 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.Imputer 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.TextFeaturizer 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) DropNullColumns (class in evalml.pipelines.components)

E

ElasticNetClassifier (class in evalml.pipelines.components) ElasticNetRegressor (class in evalml.pipelines.components) Estimator (class in evalml.pipelines.components)

explain_prediction() (in module evalml.pipelines.prediction_explanations) 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns 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.Imputer 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.TextFeaturizer method) (evalml.pipelines.components.Transformer method) (evalml.pipelines.components.XGBoostClassifier method) (evalml.pipelines.components.XGBoostRegressor method)

fit_transform() (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline method) get_estimators() (in module evalml.pipelines.components.utils) get_feature_names() (evalml.pipelines.components.OneHotEncoder method) get_names() (evalml.pipelines.components.RFClassifierSelectFromModel method) (evalml.pipelines.components.RFRegressorSelectFromModel method) get_pipeline() (evalml.automl.AutoMLSearch method) 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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_model_family() (in module evalml.model_family) 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.DateTimeFeaturizer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute)

I

IDColumnsDataCheck (class in evalml.data_checks) import_or_raise() (in module evalml.utils) Imputer (class in evalml.pipelines.components) 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) LinearRegressor (class in evalml.pipelines.components) 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.ClassificationPipeline 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.RegressionPipeline 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) LogLossBinary (class in evalml.objectives) LogLossMulticlass (class in evalml.objectives)

M

MAE (class in evalml.objectives) make_pipeline() (in module evalml.pipelines.utils) 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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.NoVarianceDataCheck attribute) (evalml.data_checks.OutliersDataCheck attribute) (evalml.pipelines.BaselineBinaryPipeline attribute) (evalml.pipelines.BaselineMulticlassPipeline attribute) (evalml.pipelines.BaselineRegressionPipeline attribute) (evalml.pipelines.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline attribute) (evalml.pipelines.components.BaselineClassifier attribute) (evalml.pipelines.components.BaselineRegressor attribute) (evalml.pipelines.components.CatBoostClassifier attribute) (evalml.pipelines.components.CatBoostRegressor attribute) (evalml.pipelines.components.DateTimeFeaturizer attribute) (evalml.pipelines.components.DropColumns attribute) (evalml.pipelines.components.DropNullColumns attribute) (evalml.pipelines.components.ElasticNetClassifier attribute) (evalml.pipelines.components.ElasticNetRegressor attribute) (evalml.pipelines.components.ExtraTreesClassifier attribute) (evalml.pipelines.components.ExtraTreesRegressor attribute) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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) NoVarianceDataCheck (class in evalml.data_checks) 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.ClassificationPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline 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) RFClassifierSelectFromModel (class in evalml.pipelines.components) 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.ClassificationPipeline method) (evalml.pipelines.MeanBaselineRegressionPipeline method) (evalml.pipelines.ModeBaselineBinaryPipeline method) (evalml.pipelines.ModeBaselineMulticlassPipeline method) (evalml.pipelines.MulticlassClassificationPipeline method) (evalml.pipelines.PipelineBase method) (evalml.pipelines.RegressionPipeline 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.MeanBaselineRegressionPipeline attribute) (evalml.pipelines.ModeBaselineBinaryPipeline attribute) (evalml.pipelines.ModeBaselineMulticlassPipeline 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

TextFeaturizer (class in evalml.pipelines.components) transform() (evalml.pipelines.components.DateTimeFeaturizer method) (evalml.pipelines.components.DropColumns method) (evalml.pipelines.components.DropNullColumns method) (evalml.pipelines.components.Imputer 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.TextFeaturizer 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.NoVarianceDataCheck 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

XGBoostClassifier (class in evalml.pipelines.components)

XGBoostRegressor (class in evalml.pipelines.components)