Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | P | Q | R | S | T | U | V | W | X _ __init__() (autogluon.common.features.feature_metadata.FeatureMetadata method) (autogluon.core.TabularDataset method) (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesDataFrame method) (autogluon.timeseries.TimeSeriesPredictor method) A AbstractAnalysis (class in autogluon.eda.analysis.base) AbstractFeatureGenerator (class in autogluon.features.generators) AbstractModel (class in autogluon.tabular.models) AbstractVisualization (class in autogluon.eda.visualization.base) add_special_types() (autogluon.common.features.feature_metadata.FeatureMetadata method) all_keys_must_be_present() (autogluon.eda.analysis.base.AbstractAnalysis method) (autogluon.eda.visualization.base.AbstractVisualization method) analyze() (in module autogluon.eda.auto.simple) analyze_interaction() (in module autogluon.eda.auto.simple) AnomalyDetector (class in autogluon.eda.analysis.anomaly) AnomalyDetectorAnalysis (class in autogluon.eda.analysis.anomaly) AnomalyScoresVisualization (class in autogluon.eda.visualization.anomaly) ApplyFeatureGenerator (class in autogluon.eda.analysis.transform) ARIMAModel (class in autogluon.timeseries.models) AsTypeFeatureGenerator (class in autogluon.features.generators) at_least_one_key_must_be_present() (autogluon.eda.analysis.base.AbstractAnalysis method) (autogluon.eda.visualization.base.AbstractVisualization method) AutoARIMAModel (class in autogluon.timeseries.models) AutoETSModel (class in autogluon.timeseries.models) autogluon.common.space module autogluon.core.models module autogluon.eda.analysis.anomaly module autogluon.eda.analysis.base module autogluon.eda.analysis.dataset module autogluon.eda.analysis.explain module autogluon.eda.analysis.interaction module autogluon.eda.analysis.missing module autogluon.eda.analysis.model module autogluon.eda.analysis.shift module autogluon.eda.analysis.transform module autogluon.eda.auto.simple module autogluon.eda.visualization.anomaly module autogluon.eda.visualization.base module autogluon.eda.visualization.dataset module autogluon.eda.visualization.explain module autogluon.eda.visualization.interaction module autogluon.eda.visualization.missing module autogluon.eda.visualization.model module autogluon.eda.visualization.shift module autogluon.features.generators module autogluon.tabular.models module, [1] autogluon.timeseries.models module AutoGluonModelEvaluator (class in autogluon.eda.analysis.model) AutoGluonModelQuickFit (class in autogluon.eda.analysis.model) AutoMLPipelineFeatureGenerator (class in autogluon.features.generators) available_datasets() (autogluon.eda.analysis.base.AbstractAnalysis static method) B BaggedEnsembleModel (class in autogluon.core.models) BaseAnalysis (class in autogluon.eda.analysis.base) BinnedFeatureGenerator (class in autogluon.features.generators) Bool (class in autogluon.common.space) BulkFeatureGenerator (class in autogluon.features.generators) C calibrate_decision_threshold() (autogluon.tabular.TabularPredictor method) can_compile() (autogluon.tabular.models.AbstractModel method) can_fit() (autogluon.tabular.models.AbstractModel method) can_handle() (autogluon.eda.analysis.base.AbstractAnalysis method) (autogluon.eda.visualization.base.AbstractVisualization method) can_infer() (autogluon.tabular.models.AbstractModel method) CatBoostModel (class in autogluon.tabular.models) Categorical (class in autogluon.common.space) CategoryFeatureGenerator (class in autogluon.features.generators) CategoryMemoryMinimizeFeatureGenerator (class in autogluon.features.generators) class_labels (autogluon.tabular.TabularPredictor attribute) class_labels_internal (autogluon.tabular.TabularPredictor attribute) class_labels_internal_map (autogluon.tabular.TabularPredictor attribute) clone() (autogluon.tabular.TabularPredictor method) clone_for_deployment() (autogluon.tabular.TabularPredictor method) compile() (autogluon.tabular.models.AbstractModel method) compile_models() (autogluon.tabular.TabularPredictor method) ConfusionMatrix (class in autogluon.eda.visualization.model) convert_to_refit_full_template() (autogluon.tabular.models.AbstractModel method) convert_to_refit_full_via_copy() (autogluon.tabular.models.AbstractModel method) convert_to_template() (autogluon.tabular.models.AbstractModel method) copy() (autogluon.timeseries.TimeSeriesDataFrame method) Correlation (class in autogluon.eda.analysis.interaction) CorrelationSignificance (class in autogluon.eda.analysis.interaction) CorrelationSignificanceVisualization (class in autogluon.eda.visualization.interaction) CorrelationVisualization (class in autogluon.eda.visualization.interaction) covariate_shift_detection() (in module autogluon.eda.auto.simple) D dataset_overview() (in module autogluon.eda.auto.simple) DatasetStatistics (class in autogluon.eda.visualization.dataset) DatasetSummary (class in autogluon.eda.analysis.dataset) DatasetTypeMismatch (class in autogluon.eda.visualization.dataset) DatetimeFeatureGenerator (class in autogluon.features.generators) DeepARModel (class in autogluon.timeseries.models) delete_from_disk() (autogluon.tabular.models.AbstractModel method) delete_models() (autogluon.tabular.TabularPredictor method) detect_anomalies() (in module autogluon.eda.auto.simple) DirectTabularModel (class in autogluon.timeseries.models) distill() (autogluon.tabular.TabularPredictor method) DistributionFit (class in autogluon.eda.analysis.interaction) DLinearModel (class in autogluon.timeseries.models) DropDuplicatesFeatureGenerator (class in autogluon.features.generators) dropna() (autogluon.timeseries.TimeSeriesDataFrame method) DropUniqueFeatureGenerator (class in autogluon.features.generators) DummyFeatureGenerator (class in autogluon.features.generators) DynamicOptimizedThetaModel (class in autogluon.timeseries.models) E estimate_memory_usage() (autogluon.tabular.models.AbstractModel method) ETSModel (class in autogluon.timeseries.models) eval_metric (autogluon.tabular.TabularPredictor attribute) evaluate() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) evaluate_predictions() (autogluon.tabular.TabularPredictor method) explain_rows() (in module autogluon.eda.auto.simple) ExplainForcePlot (class in autogluon.eda.visualization.explain) ExplainWaterfallPlot (class in autogluon.eda.visualization.explain) extract_embedding() (autogluon.multimodal.MultiModalPredictor method) F FastTextModel (class in autogluon.tabular.models) feature_importance() (autogluon.tabular.TabularPredictor method) feature_metadata (autogluon.features.generators.AbstractFeatureGenerator attribute) (autogluon.tabular.TabularPredictor attribute) feature_metadata_in (autogluon.features.generators.AbstractFeatureGenerator attribute) feature_metadata_real (autogluon.features.generators.AbstractFeatureGenerator attribute) FeatureDistanceAnalysisVisualization (class in autogluon.eda.visualization.interaction) FeatureImportance (class in autogluon.eda.visualization.model) FeatureInteraction (class in autogluon.eda.analysis.interaction) FeatureInteractionVisualization (class in autogluon.eda.visualization.interaction) FeatureMetadata (class in autogluon.common.features.feature_metadata) features() (autogluon.tabular.TabularPredictor method) features_in (autogluon.features.generators.AbstractFeatureGenerator attribute) features_out (autogluon.features.generators.AbstractFeatureGenerator attribute) file_path (autogluon.core.TabularDataset attribute) fill_missing_values() (autogluon.timeseries.TimeSeriesDataFrame method) FillNaFeatureGenerator (class in autogluon.features.generators) fit() (autogluon.eda.analysis.base.AbstractAnalysis method) (autogluon.features.generators.AbstractFeatureGenerator method) (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) fit_extra() (autogluon.tabular.TabularPredictor method) fit_pseudolabel() (autogluon.tabular.TabularPredictor method) fit_summary() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) fit_transform() (autogluon.eda.analysis.anomaly.AnomalyDetector method) (autogluon.features.generators.AbstractFeatureGenerator method) fit_weighted_ensemble() (autogluon.tabular.TabularPredictor method) freq (autogluon.timeseries.TimeSeriesDataFrame attribute) from_data_frame() (autogluon.timeseries.TimeSeriesDataFrame class method) from_df() (autogluon.common.features.feature_metadata.FeatureMetadata class method) from_iterable_dataset() (autogluon.timeseries.TimeSeriesDataFrame class method) from_path() (autogluon.timeseries.TimeSeriesDataFrame class method) from_pickle() (autogluon.timeseries.TimeSeriesDataFrame class method) FTTransformerModel (class in autogluon.tabular.models) G get_feature_links() (autogluon.features.generators.AbstractFeatureGenerator method) get_feature_links_chain() (autogluon.features.generators.AbstractFeatureGenerator method) get_feature_type_raw() (autogluon.common.features.feature_metadata.FeatureMetadata method) get_feature_types_special() (autogluon.common.features.feature_metadata.FeatureMetadata method) get_features() (autogluon.common.features.feature_metadata.FeatureMetadata method) get_fit_metadata() (autogluon.tabular.models.AbstractModel method) get_info() (autogluon.tabular.models.AbstractModel method) get_minimum_resources() (autogluon.tabular.models.AbstractModel method) get_model_best() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) get_model_full_dict() (autogluon.tabular.TabularPredictor method) get_model_inputs_for_scoring() (autogluon.timeseries.TimeSeriesDataFrame method) get_model_names() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) get_model_names_persisted() (autogluon.tabular.TabularPredictor method) get_num_gpus() (autogluon.multimodal.MultiModalPredictor method) get_oof_pred() (autogluon.tabular.TabularPredictor method) get_oof_pred_proba() (autogluon.tabular.TabularPredictor method) get_params() (autogluon.tabular.models.AbstractModel method) get_pred_from_proba() (autogluon.tabular.TabularPredictor method) get_predictor_classes() (autogluon.multimodal.MultiModalPredictor method) get_reindexed_view() (autogluon.timeseries.TimeSeriesDataFrame method) get_size_disk() (autogluon.tabular.TabularPredictor method) get_size_disk_per_file() (autogluon.tabular.TabularPredictor method) get_tags() (autogluon.features.generators.AbstractFeatureGenerator method) get_trained_params() (autogluon.tabular.models.AbstractModel method) get_type_group_map_raw() (autogluon.common.features.feature_metadata.FeatureMetadata method) get_type_group_map_special_from_type_map_special() (autogluon.common.features.feature_metadata.FeatureMetadata static method) get_type_map_special() (autogluon.common.features.feature_metadata.FeatureMetadata method) H hyperparameter_tune() (autogluon.tabular.models.AbstractModel method) I IdentityFeatureGenerator (class in autogluon.features.generators) ImagePredictorModel (class in autogluon.tabular.models) info() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) Int (class in autogluon.common.space) is_fit() (autogluon.tabular.models.AbstractModel method) is_initialized() (autogluon.tabular.models.AbstractModel method) is_valid() (autogluon.tabular.models.AbstractModel method) is_valid_metadata_in() (autogluon.features.generators.AbstractFeatureGenerator method) item_ids (autogluon.timeseries.TimeSeriesDataFrame attribute) J join_metadata() (autogluon.common.features.feature_metadata.FeatureMetadata method) join_metadatas() (autogluon.common.features.feature_metadata.FeatureMetadata static method) K keep_features() (autogluon.common.features.feature_metadata.FeatureMetadata method) KNNModel (class in autogluon.tabular.models) L label (autogluon.tabular.TabularPredictor attribute) LabelEncoderFeatureGenerator (class in autogluon.features.generators) LabelInsightsAnalysis (class in autogluon.eda.analysis.dataset) LabelInsightsVisualization (class in autogluon.eda.visualization.dataset) leaderboard() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) LGBModel (class in autogluon.tabular.models) LinearModel (class in autogluon.tabular.models) list_supported_models() (autogluon.multimodal.MultiModalPredictor method) load() (autogluon.multimodal.MultiModalPredictor class method) (autogluon.tabular.models.AbstractModel class method) (autogluon.tabular.TabularPredictor class method) (autogluon.timeseries.TimeSeriesPredictor class method) load_data_internal() (autogluon.tabular.TabularPredictor method) load_log() (autogluon.tabular.TabularPredictor class method) M missing_values_analysis() (in module autogluon.eda.auto.simple) MissingValues (class in autogluon.eda.visualization.missing) MissingValuesAnalysis (class in autogluon.eda.analysis.missing) ModelLeaderboard (class in autogluon.eda.visualization.model) module autogluon.common.space autogluon.core.models autogluon.eda.analysis.anomaly autogluon.eda.analysis.base autogluon.eda.analysis.dataset autogluon.eda.analysis.explain autogluon.eda.analysis.interaction autogluon.eda.analysis.missing autogluon.eda.analysis.model autogluon.eda.analysis.shift autogluon.eda.analysis.transform autogluon.eda.auto.simple autogluon.eda.visualization.anomaly autogluon.eda.visualization.base autogluon.eda.visualization.dataset autogluon.eda.visualization.explain autogluon.eda.visualization.interaction autogluon.eda.visualization.missing autogluon.eda.visualization.model autogluon.eda.visualization.shift autogluon.features.generators autogluon.tabular.models, [1] autogluon.timeseries.models MultiModalPredictor (class in autogluon.multimodal) MultiModalPredictorModel (class in autogluon.tabular.models) N NaiveModel (class in autogluon.timeseries.models) Namespace (class in autogluon.eda.analysis.base) NNFastAiTabularModel (class in autogluon.tabular.models) Note (autogluon.core.TabularDataset attribute) num_items (autogluon.timeseries.TimeSeriesDataFrame attribute) num_timesteps_per_item() (autogluon.timeseries.TimeSeriesDataFrame method) NumericMemoryMinimizeFeatureGenerator (class in autogluon.features.generators) P partial_dependence_plots() (in module autogluon.eda.auto.simple) PatchTSTModel (class in autogluon.timeseries.models) path (autogluon.tabular.TabularPredictor attribute) PDPInteractions (class in autogluon.eda.visualization.interaction) persist_models() (autogluon.tabular.TabularPredictor method) PipelineFeatureGenerator (class in autogluon.features.generators) plot_ensemble_model() (autogluon.tabular.TabularPredictor method) positive_class (autogluon.tabular.TabularPredictor attribute) predict() (autogluon.eda.analysis.anomaly.AnomalyDetector method) (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) predict_multi() (autogluon.tabular.TabularPredictor method) predict_proba() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) predict_proba_multi() (autogluon.tabular.TabularPredictor method) preprocess() (autogluon.tabular.models.AbstractModel method) print_feature_metadata_full() (autogluon.common.features.feature_metadata.FeatureMetadata method) print_feature_metadata_info() (autogluon.features.generators.AbstractFeatureGenerator method) print_generator_info() (autogluon.features.generators.AbstractFeatureGenerator method) problem_type (autogluon.tabular.TabularPredictor attribute) ProblemTypeControl (class in autogluon.eda.analysis.dataset) Q quick_fit() (in module autogluon.eda.auto.simple) R RawTypesAnalysis (class in autogluon.eda.analysis.dataset) Real (class in autogluon.common.space) RecursiveTabularModel (class in autogluon.timeseries.models) reduce_memory_size() (autogluon.tabular.models.AbstractModel method) refit_full() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) RegressionEvaluation (class in autogluon.eda.visualization.model) remove_features() (autogluon.common.features.feature_metadata.FeatureMetadata method) rename() (autogluon.tabular.models.AbstractModel method) rename_features() (autogluon.common.features.feature_metadata.FeatureMetadata method) RenameFeatureGenerator (class in autogluon.features.generators) render() (autogluon.eda.visualization.base.AbstractVisualization method) RFModel (class in autogluon.tabular.models) S Sampler (class in autogluon.eda.analysis.dataset) save() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) save_space() (autogluon.tabular.TabularPredictor method) score() (autogluon.timeseries.TimeSeriesPredictor method) SeasonalNaiveModel (class in autogluon.timeseries.models) set_decision_threshold() (autogluon.tabular.TabularPredictor method) set_model_best() (autogluon.tabular.TabularPredictor method) set_num_gpus() (autogluon.multimodal.MultiModalPredictor method) set_verbosity() (autogluon.multimodal.MultiModalPredictor method) ShapAnalysis (class in autogluon.eda.analysis.explain) SimpleFeedForwardModel (class in autogluon.timeseries.models) slice_by_time() (autogluon.timeseries.TimeSeriesDataFrame method) slice_by_timestep() (autogluon.timeseries.TimeSeriesDataFrame method) SpecialTypesAnalysis (class in autogluon.eda.analysis.dataset) split_by_time() (autogluon.timeseries.TimeSeriesDataFrame method) StackerEnsembleModel (class in autogluon.core.models) T TabPFNModel (class in autogluon.tabular.models) TabularDataset (class in autogluon.core) TabularNeuralNetTorchModel (class in autogluon.tabular.models) TabularPredictor (class in autogluon.tabular) target_analysis() (in module autogluon.eda.auto.simple) TemporalFusionTransformerModel (class in autogluon.timeseries.models) TextNgramFeatureGenerator (class in autogluon.features.generators) TextPredictorModel (class in autogluon.tabular.models) TextSpecialFeatureGenerator (class in autogluon.features.generators) ThetaModel (class in autogluon.timeseries.models) TimeSeriesDataFrame (class in autogluon.timeseries) TimeSeriesPredictor (class in autogluon.timeseries) to_dict() (autogluon.common.features.feature_metadata.FeatureMetadata method) to_regular_index() (autogluon.timeseries.TimeSeriesDataFrame method) train_test_split() (autogluon.timeseries.TimeSeriesDataFrame method) TrainValidationSplit (class in autogluon.eda.analysis.dataset) transform() (autogluon.eda.analysis.anomaly.AnomalyDetector method) (autogluon.features.generators.AbstractFeatureGenerator method) transform_features() (autogluon.tabular.TabularPredictor method) transform_labels() (autogluon.tabular.TabularPredictor method) U unpersist_models() (autogluon.tabular.TabularPredictor method) V validate_fit_resources() (autogluon.tabular.models.AbstractModel method) VariableTypeAnalysis (class in autogluon.eda.analysis.dataset) VowpalWabbitModel (class in autogluon.tabular.models) W WeightedEnsembleModel (class in autogluon.core.models) X XGBoostModel (class in autogluon.tabular.models) XShiftDetector (class in autogluon.eda.analysis.shift) XShiftSummary (class in autogluon.eda.visualization.shift) XTModel (class in autogluon.tabular.models)