============= API Reference ============= Demo Datasets ============= .. autoapisummary:: :nosignatures: evalml.demos.load_breast_cancer evalml.demos.load_churn evalml.demos.load_diabetes evalml.demos.load_fraud evalml.demos.load_weather evalml.demos.load_wine Preprocessing ============= Preprocessing Utils ~~~~~~~~~~~~~~~~~~~ Utilities to preprocess data before using evalml. .. autoapisummary:: :nosignatures: evalml.preprocessing.load_data evalml.preprocessing.number_of_features evalml.preprocessing.split_data evalml.preprocessing.target_distribution Data Splitters ~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.preprocessing.data_splitters.NoSplit evalml.preprocessing.data_splitters.KFold evalml.preprocessing.data_splitters.StratifiedKFold evalml.preprocessing.data_splitters.TrainingValidationSplit evalml.preprocessing.data_splitters.TimeSeriesSplit Exceptions ============= .. autoapisummary:: evalml.exceptions.AutoMLSearchException evalml.exceptions.ComponentNotYetFittedError evalml.exceptions.DataCheckInitError evalml.exceptions.MethodPropertyNotFoundError evalml.exceptions.MissingComponentError evalml.exceptions.NoPositiveLabelException evalml.exceptions.ObjectiveCreationError evalml.exceptions.ObjectiveNotFoundError evalml.exceptions.PartialDependenceError evalml.exceptions.PipelineError evalml.exceptions.PipelineNotFoundError evalml.exceptions.PipelineNotYetFittedError evalml.exceptions.PipelineScoreError Warnings ~~~~~~~~ .. autoapisummary:: evalml.exceptions.NullsInColumnWarning evalml.exceptions.ParameterNotUsedWarning Error Codes ~~~~~~~~~~~ .. autoapisummary:: evalml.exceptions.PartialDependenceErrorCode evalml.exceptions.PipelineErrorCodeEnum evalml.exceptions.ValidationErrorCode AutoML ====== AutoML Search Interface ~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.automl.AutoMLSearch AutoML Utils ~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.automl.get_default_primary_search_objective evalml.automl.get_threshold_tuning_info evalml.automl.make_data_splitter evalml.automl.resplit_training_data evalml.automl.search evalml.automl.search_iterative evalml.automl.tune_binary_threshold AutoML Algorithm Classes ~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.automl.automl_algorithm.AutoMLAlgorithm evalml.automl.automl_algorithm.DefaultAlgorithm evalml.automl.automl_algorithm.IterativeAlgorithm AutoML Callbacks ~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.automl.callbacks.log_error_callback evalml.automl.callbacks.raise_error_callback evalml.automl.callbacks.silent_error_callback AutoML Engines ~~~~~~~~~~~~~~ .. autoapisummary:: evalml.automl.engine.CFEngine evalml.automl.engine.DaskEngine evalml.automl.engine.EngineBase evalml.automl.engine.SequentialEngine Pipelines ========= Pipeline Base Classes ~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.pipelines.BinaryClassificationPipeline evalml.pipelines.ClassificationPipeline evalml.pipelines.MulticlassClassificationPipeline evalml.pipelines.PipelineBase evalml.pipelines.RegressionPipeline evalml.pipelines.TimeSeriesBinaryClassificationPipeline evalml.pipelines.TimeSeriesClassificationPipeline evalml.pipelines.TimeSeriesMulticlassClassificationPipeline evalml.pipelines.TimeSeriesRegressionPipeline Pipeline Utils ~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.pipelines.utils.get_actions_from_option_defaults evalml.pipelines.utils.generate_pipeline_code evalml.pipelines.utils.generate_pipeline_example evalml.pipelines.utils.make_pipeline evalml.pipelines.utils.make_pipeline_from_actions evalml.pipelines.utils.make_pipeline_from_data_check_output evalml.pipelines.utils.rows_of_interest Component Graphs ================ .. autoapisummary:: evalml.pipelines.ComponentGraph Components ========== Component Base Classes ~~~~~~~~~~~~~~~~~~~~~~ Components represent a step in a pipeline. .. autoapisummary:: evalml.pipelines.components.ComponentBase evalml.pipelines.Transformer evalml.pipelines.Estimator Component Utils ~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.pipelines.components.utils.allowed_model_families evalml.pipelines.components.utils.estimator_unable_to_handle_nans evalml.pipelines.components.utils.generate_component_code evalml.pipelines.components.utils.get_estimators evalml.pipelines.components.utils.handle_component_class evalml.pipelines.components.utils.make_balancing_dictionary Transformers ~~~~~~~~~~~~ Transformers are components that take in data as input and output transformed data. .. autoapisummary:: evalml.pipelines.components.DateTimeFeaturizer evalml.pipelines.components.DFSTransformer evalml.pipelines.components.DropColumns evalml.pipelines.components.DropNaNRowsTransformer evalml.pipelines.components.DropNullColumns evalml.pipelines.components.DropRowsTransformer evalml.pipelines.components.EmailFeaturizer evalml.pipelines.components.Imputer evalml.pipelines.components.LabelEncoder evalml.pipelines.components.LinearDiscriminantAnalysis evalml.pipelines.components.LogTransformer evalml.pipelines.components.LSA evalml.pipelines.components.NaturalLanguageFeaturizer evalml.pipelines.components.OneHotEncoder evalml.pipelines.components.OrdinalEncoder evalml.pipelines.components.Oversampler evalml.pipelines.components.PCA evalml.pipelines.components.PerColumnImputer evalml.pipelines.components.PolynomialDecomposer evalml.pipelines.components.ReplaceNullableTypes evalml.pipelines.components.RFClassifierRFESelector evalml.pipelines.components.RFClassifierSelectFromModel evalml.pipelines.components.RFRegressorRFESelector evalml.pipelines.components.RFRegressorSelectFromModel evalml.pipelines.components.SelectByType evalml.pipelines.components.SelectColumns evalml.pipelines.components.SimpleImputer evalml.pipelines.components.StandardScaler evalml.pipelines.components.STLDecomposer evalml.pipelines.components.TargetEncoder evalml.pipelines.components.TargetImputer evalml.pipelines.components.TimeSeriesFeaturizer evalml.pipelines.components.TimeSeriesImputer evalml.pipelines.components.TimeSeriesRegularizer evalml.pipelines.components.Undersampler evalml.pipelines.components.URLFeaturizer Estimators ~~~~~~~~~~ Classifiers ----------- Classifiers are components that output a predicted class label. .. autoapisummary:: evalml.pipelines.components.BaselineClassifier evalml.pipelines.components.CatBoostClassifier evalml.pipelines.components.DecisionTreeClassifier evalml.pipelines.components.ElasticNetClassifier evalml.pipelines.components.ExtraTreesClassifier evalml.pipelines.components.KNeighborsClassifier evalml.pipelines.components.LightGBMClassifier evalml.pipelines.components.LogisticRegressionClassifier evalml.pipelines.components.RandomForestClassifier evalml.pipelines.components.StackedEnsembleClassifier evalml.pipelines.components.SVMClassifier evalml.pipelines.components.VowpalWabbitBinaryClassifier evalml.pipelines.components.VowpalWabbitMulticlassClassifier evalml.pipelines.components.XGBoostClassifier Regressors ----------- Regressors are components that output a predicted target value. .. autoapisummary:: evalml.pipelines.components.ARIMARegressor evalml.pipelines.components.BaselineRegressor evalml.pipelines.components.CatBoostRegressor evalml.pipelines.components.DecisionTreeRegressor evalml.pipelines.components.ElasticNetRegressor evalml.pipelines.components.ExponentialSmoothingRegressor evalml.pipelines.components.ExtraTreesRegressor evalml.pipelines.components.LightGBMRegressor evalml.pipelines.components.LinearRegressor evalml.pipelines.components.ProphetRegressor evalml.pipelines.components.RandomForestRegressor evalml.pipelines.components.StackedEnsembleRegressor evalml.pipelines.components.SVMRegressor evalml.pipelines.components.TimeSeriesBaselineEstimator evalml.pipelines.components.VowpalWabbitRegressor evalml.pipelines.components.XGBoostRegressor Model Understanding =================== Metrics ~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.model_understanding.binary_objective_vs_threshold evalml.model_understanding.calculate_permutation_importance evalml.model_understanding.calculate_permutation_importance_one_column evalml.model_understanding.confusion_matrix evalml.model_understanding.find_confusion_matrix_per_thresholds evalml.model_understanding.get_linear_coefficients evalml.model_understanding.get_prediction_vs_actual_data evalml.model_understanding.get_prediction_vs_actual_over_time_data evalml.model_understanding.normalize_confusion_matrix evalml.model_understanding.partial_dependence evalml.model_understanding.precision_recall_curve evalml.model_understanding.roc_curve evalml.model_understanding.t_sne evalml.model_understanding.feature_explanations.get_influential_features evalml.model_understanding.feature_explanations.readable_explanation Visualization Methods ~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.model_understanding.graph_binary_objective_vs_threshold evalml.model_understanding.graph_confusion_matrix evalml.model_understanding.graph_partial_dependence evalml.model_understanding.graph_permutation_importance evalml.model_understanding.graph_precision_recall_curve evalml.model_understanding.graph_prediction_vs_actual evalml.model_understanding.graph_prediction_vs_actual_over_time evalml.model_understanding.graph_roc_curve evalml.model_understanding.graph_t_sne Prediction Explanations ~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.model_understanding.explain_predictions evalml.model_understanding.explain_predictions_best_worst Objectives ==================== Objective Base Classes ~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.objectives.ObjectiveBase evalml.objectives.BinaryClassificationObjective evalml.objectives.MulticlassClassificationObjective evalml.objectives.RegressionObjective Domain-Specific Objectives ~~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.objectives.CostBenefitMatrix evalml.objectives.FraudCost evalml.objectives.LeadScoring evalml.objectives.SensitivityLowAlert Classification Objectives ~~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.objectives.AccuracyBinary evalml.objectives.AccuracyMulticlass evalml.objectives.AUC evalml.objectives.AUCMacro evalml.objectives.AUCMicro evalml.objectives.AUCWeighted evalml.objectives.Gini evalml.objectives.BalancedAccuracyBinary evalml.objectives.BalancedAccuracyMulticlass evalml.objectives.F1 evalml.objectives.F1Micro evalml.objectives.F1Macro evalml.objectives.F1Weighted evalml.objectives.LogLossBinary evalml.objectives.LogLossMulticlass evalml.objectives.MCCBinary evalml.objectives.MCCMulticlass evalml.objectives.Precision evalml.objectives.PrecisionMicro evalml.objectives.PrecisionMacro evalml.objectives.PrecisionWeighted evalml.objectives.Recall evalml.objectives.RecallMicro evalml.objectives.RecallMacro evalml.objectives.RecallWeighted Regression Objectives ~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.objectives.ExpVariance evalml.objectives.MAE evalml.objectives.MAPE evalml.objectives.MSE evalml.objectives.MeanSquaredLogError evalml.objectives.MedianAE evalml.objectives.MaxError evalml.objectives.R2 evalml.objectives.RootMeanSquaredError evalml.objectives.RootMeanSquaredLogError Objective Utils ~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.objectives.get_all_objective_names evalml.objectives.get_core_objectives evalml.objectives.get_core_objective_names evalml.objectives.get_default_recommendation_objectives evalml.objectives.get_non_core_objectives evalml.objectives.get_objective evalml.objectives.get_optimization_objectives evalml.objectives.get_ranking_objectives evalml.objectives.normalize_objectives evalml.objectives.organize_objectives evalml.objectives.ranking_only_objectives evalml.objectives.recommendation_score Problem Types ============= .. autoapisummary:: :nosignatures: evalml.problem_types.detect_problem_type evalml.problem_types.handle_problem_types evalml.problem_types.is_binary evalml.problem_types.is_classification evalml.problem_types.is_multiclass evalml.problem_types.is_regression evalml.problem_types.is_time_series evalml.problem_types.ProblemTypes Model Family ============ .. autoapisummary:: :nosignatures: evalml.model_family.handle_model_family evalml.model_family.ModelFamily Tuners ====== .. autoapisummary:: evalml.tuners.Tuner evalml.tuners.SKOptTuner evalml.tuners.GridSearchTuner evalml.tuners.RandomSearchTuner Data Checks =========== Data Check Classes ~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.data_checks.ClassImbalanceDataCheck evalml.data_checks.DateTimeFormatDataCheck evalml.data_checks.IDColumnsDataCheck evalml.data_checks.InvalidTargetDataCheck evalml.data_checks.MulticollinearityDataCheck evalml.data_checks.NoVarianceDataCheck evalml.data_checks.NullDataCheck evalml.data_checks.OutliersDataCheck evalml.data_checks.SparsityDataCheck evalml.data_checks.TargetDistributionDataCheck evalml.data_checks.TargetLeakageDataCheck evalml.data_checks.TimeSeriesParametersDataCheck evalml.data_checks.TimeSeriesSplittingDataCheck evalml.data_checks.UniquenessDataCheck evalml.data_checks.DataCheck evalml.data_checks.DataChecks evalml.data_checks.DefaultDataChecks Data Check Messages ~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.data_checks.DataCheckMessage evalml.data_checks.DataCheckError evalml.data_checks.DataCheckWarning Data Check Message Types ~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.data_checks.DataCheckMessageType Data Check Message Codes ~~~~~~~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.data_checks.DataCheckMessageCode Data Check Actions ~~~~~~~~~~~~~~~~~~ .. autoapisummary:: evalml.data_checks.DataCheckAction evalml.data_checks.DataCheckActionCode evalml.data_checks.DataCheckActionOption Utils ===== General Utils ~~~~~~~~~~~~~ .. autoapisummary:: :nosignatures: evalml.utils.convert_to_seconds evalml.utils.downcast_nullable_types evalml.utils.drop_rows_with_nans evalml.utils.get_importable_subclasses evalml.utils.get_logger evalml.utils.get_time_index evalml.utils.import_or_raise evalml.utils.infer_feature_types evalml.utils.is_all_numeric evalml.utils.get_random_state evalml.utils.get_random_seed evalml.utils.pad_with_nans evalml.utils.safe_repr evalml.utils.save_plot .. toctree:: :hidden: autoapi/evalml/index