Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | X | Z _ __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 AbstractFeatureGenerator (class in autogluon.features.generators) AbstractModel (class in autogluon.tabular.models) add_special_types() (autogluon.common.features.feature_metadata.FeatureMetadata method) ADIDAModel (class in autogluon.timeseries.models) AsTypeFeatureGenerator (class in autogluon.features.generators) AutoARIMAModel (class in autogluon.timeseries.models) AutoCESModel (class in autogluon.timeseries.models) AutoETSModel (class in autogluon.timeseries.models) autogluon.common.space module autogluon.core.models module autogluon.features.generators module autogluon.tabular.models module, [1] autogluon.timeseries.metrics module autogluon.timeseries.models module AutoMLPipelineFeatureGenerator (class in autogluon.features.generators) AverageModel (class in autogluon.timeseries.models) B BaggedEnsembleModel (class in autogluon.core.models) 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_infer() (autogluon.tabular.models.AbstractModel method) can_predict_proba() (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) ChronosModel (class in autogluon.timeseries.models) 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) (autogluon.tabular.TabularPredictor method) compute_feature_importance() (autogluon.tabular.models.AbstractModel method) compute_metric() (autogluon.timeseries.metrics.TimeSeriesScorer method) convert_frequency() (autogluon.timeseries.TimeSeriesDataFrame method) 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) CrostonClassicModel (class in autogluon.timeseries.models) CrostonOptimizedModel (class in autogluon.timeseries.models) CrostonSBAModel (class in autogluon.timeseries.models) D 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) DirectTabularModel (class in autogluon.timeseries.models) disk_usage() (autogluon.tabular.TabularPredictor method) disk_usage_per_file() (autogluon.tabular.TabularPredictor method) distill() (autogluon.tabular.TabularPredictor method) 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) dump_model() (autogluon.multimodal.MultiModalPredictor method) 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) export_onnx() (autogluon.multimodal.MultiModalPredictor method) extract_embedding() (autogluon.multimodal.MultiModalPredictor method) F FastTextModel (class in autogluon.tabular.models) feature_importance() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor 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) 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.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.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_memory_size() (autogluon.tabular.models.AbstractModel method) get_minimum_resources() (autogluon.tabular.models.AbstractModel method) get_model_inputs_for_scoring() (autogluon.timeseries.TimeSeriesDataFrame method) get_num_gpus() (autogluon.multimodal.MultiModalPredictor method) get_params() (autogluon.tabular.models.AbstractModel 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) IMAPAModel (class in autogluon.timeseries.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) 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 MAE (class in autogluon.timeseries.metrics) MAPE (class in autogluon.timeseries.metrics) MASE (class in autogluon.timeseries.metrics) model_failures() (autogluon.tabular.TabularPredictor method) model_names() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) model_refit_map() (autogluon.tabular.TabularPredictor method) module autogluon.common.space autogluon.core.models autogluon.features.generators autogluon.tabular.models, [1] autogluon.timeseries.metrics autogluon.timeseries.models MSE (class in autogluon.timeseries.metrics) MultiModalPredictor (class in autogluon.multimodal) MultiModalPredictorModel (class in autogluon.tabular.models) N NaiveModel (class in autogluon.timeseries.models) NNFastAiTabularModel (class in autogluon.tabular.models) Note (autogluon.core.TabularDataset attribute) NPTSModel (class in autogluon.timeseries.models) num_items (autogluon.timeseries.TimeSeriesDataFrame attribute) num_timesteps_per_item() (autogluon.timeseries.TimeSeriesDataFrame method) NumericMemoryMinimizeFeatureGenerator (class in autogluon.features.generators) O optimize_for_inference() (autogluon.multimodal.MultiModalPredictor method) P PatchTSTModel (class in autogluon.timeseries.models) path (autogluon.tabular.TabularPredictor attribute) persist() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) PipelineFeatureGenerator (class in autogluon.features.generators) plot() (autogluon.timeseries.TimeSeriesPredictor method) plot_ensemble_model() (autogluon.tabular.TabularPredictor method) positive_class (autogluon.tabular.TabularPredictor attribute) predict() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) predict_from_proba() (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) predict_multi() (autogluon.tabular.TabularPredictor method) predict_n_size (autogluon.tabular.models.AbstractModel property) predict_n_time_per_row (autogluon.tabular.models.AbstractModel property) predict_oof() (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) predict_proba_oof() (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) R Real (class in autogluon.common.space) record_predict_info() (autogluon.tabular.models.AbstractModel method) RecursiveTabularModel (class in autogluon.timeseries.models) reduce_memory_size() (autogluon.tabular.models.AbstractModel method) refit_full() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) 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) RFModel (class in autogluon.tabular.models) RMSE (class in autogluon.timeseries.metrics) RMSLE (class in autogluon.timeseries.metrics) RMSSE (class in autogluon.timeseries.metrics) S save() (autogluon.multimodal.MultiModalPredictor method) (autogluon.tabular.models.AbstractModel method) (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) save_space() (autogluon.tabular.TabularPredictor method) SeasonalAverageModel (class in autogluon.timeseries.models) 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) SimpleFeedForwardModel (class in autogluon.timeseries.models) simulation_artifact() (autogluon.tabular.TabularPredictor method) slice_by_time() (autogluon.timeseries.TimeSeriesDataFrame method) slice_by_timestep() (autogluon.timeseries.TimeSeriesDataFrame method) SMAPE (class in autogluon.timeseries.metrics) split_by_time() (autogluon.timeseries.TimeSeriesDataFrame method) SQL (class in autogluon.timeseries.metrics) 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) 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) TiDEModel (class in autogluon.timeseries.models) TimeSeriesDataFrame (class in autogluon.timeseries) TimeSeriesPredictor (class in autogluon.timeseries) to_dict() (autogluon.common.features.feature_metadata.FeatureMetadata method) train_test_split() (autogluon.timeseries.TimeSeriesDataFrame method) transform() (autogluon.features.generators.AbstractFeatureGenerator method) transform_features() (autogluon.tabular.TabularPredictor method) transform_labels() (autogluon.tabular.TabularPredictor method) U unpersist() (autogluon.tabular.TabularPredictor method) (autogluon.timeseries.TimeSeriesPredictor method) V validate_fit_resources() (autogluon.tabular.models.AbstractModel method) VowpalWabbitModel (class in autogluon.tabular.models) W WAPE (class in autogluon.timeseries.metrics) WaveNetModel (class in autogluon.timeseries.models) WeightedEnsembleModel (class in autogluon.core.models) WQL (class in autogluon.timeseries.metrics) X XGBoostModel (class in autogluon.tabular.models) XTModel (class in autogluon.tabular.models) Z ZeroModel (class in autogluon.timeseries.models)