api_reference.rst

API Reference

evalml.demos

Demo Datasets

load_fraud load_wine load_breast_cancer load_diabetes

evalml.preprocessing

Preprocessing

load_data split_data

evalml

AutoML

AutoClassificationSearch AutoRegressionSearch

Plotting

AutoClassificationSearch.plot.get_roc_data AutoClassificationSearch.plot.generate_roc_plot AutoRegressionSearch.plot.get_roc_data AutoRegressionSearch.plot.generate_roc_plot AutoClassificationSearch.plot.get_confusion_matrix_data AutoClassificationSearch.plot.generate_confusion_matrix AutoRegressionSearch.plot.get_confusion_matrix_data AutoRegressionSearch.plot.generate_confusion_matrix

Model Types

list_model_types

evalml.pipelines.components

Components

Transformers

OneHotEncoder RFRegressorSelectFromModel RFClassifierSelectFromModel SimpleImputer StandardScaler

Estimators

LogisticRegressionClassifier RandomForestClassifier XGBoostClassifier LinearRegressor RandomForestRegressor

evalml.pipelines

Pipelines

get_pipelines save_pipeline load_pipeline

PipelineBase RFClassificationPipeline XGBoostPipeline LogisticRegressionPipeline RFRegressionPipeline LinearRegressionPipeline

Plotting

PipelineBase.plot

evalml.objectives

Objective Functions

Domain Specific

FraudCost LeadScoring

Classification

F1 F1Micro F1Macro F1Weighted Precision PrecisionMicro PrecisionMacro PrecisionWeighted Recall RecallMicro RecallMacro RecallWeighted AUC AUCMicro AUCMacro AUCWeighted LogLoss MCC ROC ConfusionMatrix

Regression

R2 MAE MSE MSLE MedianAE MaxError ExpVariance

evalml.problem_types

Problem Types

ProblemTypes

handle_problem_types

evalml.tuners

Tuners

SKOptTuner

evalml.guardrails

Guardrails

detect_highly_null detect_label_leakage detect_outliers detect_id_columns