Index

_

__init__() (evalml.AutoClassifier method) (evalml.AutoRegressor method) (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) (evalml.pipelines.LogisticRegressionPipeline method) (evalml.pipelines.RFClassificationPipeline method) (evalml.pipelines.RFRegressionPipeline method) (evalml.pipelines.XGBoostPipeline method) (evalml.tuners.SKOptTuner method)

A

add() (evalml.tuners.SKOptTuner method) AUC (class in evalml.objectives) AUCMacro (class in evalml.objectives)

AUCMicro (class in evalml.objectives) AUCWeighted (class in evalml.objectives) AutoClassifier (class in evalml) AutoRegressor (class in evalml)

D

decision_function() (evalml.objectives.FraudCost method) (evalml.objectives.LeadScoring method) detect_highly_null (class in evalml.guardrails)

detect_id_columns (class in evalml.guardrails) detect_label_leakage (class in evalml.guardrails) detect_outliers (class in 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) FraudCost (class in evalml.objectives)

G

get_pipelines (class in evalml.pipelines)

H

handle_problem_types (class in evalml.problem_types)

L

LeadScoring (class in evalml.objectives) list_model_types (class in evalml) load_breast_cancer (class in evalml.demos) load_data (class in evalml.preprocessing) load_diabetes (class in evalml.demos)

load_fraud (class in evalml.demos) load_pipeline (class in evalml.pipelines) load_wine (class in evalml.demos) 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) MSE (class in evalml.objectives) MSLE (class in evalml.objectives)

O

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

P

Precision (class in evalml.objectives) PrecisionMacro (class in evalml.objectives) PrecisionMicro (class in evalml.objectives)

PrecisionWeighted (class in evalml.objectives) ProblemTypes (class in evalml.problem_types) propose() (evalml.tuners.SKOptTuner method)

R

R2 (class in evalml.objectives) 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) RFRegressionPipeline (class in evalml.pipelines)

S

save_pipeline (class in evalml.pipelines) score() (evalml.objectives.AUC method) (evalml.objectives.AUCMacro method) (evalml.objectives.AUCMicro method) (evalml.objectives.AUCWeighted method) (evalml.objectives.ExpVariance method) (evalml.objectives.F1 method) (evalml.objectives.F1Macro method) (evalml.objectives.F1Micro method) (evalml.objectives.F1Weighted 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.Recall method) (evalml.objectives.RecallMacro method) (evalml.objectives.RecallMicro method) (evalml.objectives.RecallWeighted method)

set_problem_type() (evalml.AutoClassifier method) SKOptTuner (class in evalml.tuners) split_data (class in evalml.preprocessing)

X

XGBoostPipeline (class in evalml.pipelines)