Index

_

_ARIMAAdapter (class in etna.models.statsforecast) _AutoARIMAAdapter (class in etna.models.autoarima) (class in etna.models.statsforecast) _AutoCESAdapter (class in etna.models.statsforecast) _AutoETSAdapter (class in etna.models.statsforecast) _AutoThetaAdapter (class in etna.models.statsforecast) _Callback (class in etna.auto.auto) _CatBoostAdapter (class in etna.models.catboost) _create_holidays_df() (in module etna.analysis.eda.utils) _create_holidays_df_dataframe() (in module etna.analysis.eda.utils) _create_holidays_df_str() (in module etna.analysis.eda.utils) _create_or_update() (in module etna.models.nn.nbeats.utils) _cross_correlation() (in module etna.analysis.eda.plots) _DeepCopyMixin (class in etna.models.nn.utils) _DummyMetric (class in etna.pipeline.base) _estimate_n_folds() (in module etna.commands.utils) _get_borders_ts() (in module etna.analysis.utils) _get_existing_quantiles() (in module etna.analysis.forecast.utils) _get_fictitious_relevances() (in module etna.analysis.feature_relevance.utils) _get_labels_names() (in module etna.analysis.decomposition.utils) _get_optional_value() (in module etna.settings) _get_seasonal_cycle_name() (in module etna.analysis.decomposition.utils) _get_seasonal_in_cycle_name() (in module etna.analysis.decomposition.utils) _get_seasonal_in_cycle_num() (in module etna.analysis.decomposition.utils) _HoltWintersAdapter (class in etna.models.holt_winters) _Initializer (class in etna.auto.auto) _is_auto_available() (in module etna.settings) _is_classification_available() (in module etna.settings) _is_prophet_available() (in module etna.settings) _is_statsforecast_available() (in module etna.settings) _is_torch_available() (in module etna.settings) _is_wandb_available() (in module etna.settings) _LabelEncoder (class in etna.transforms.encoders.categorical)

_LinearAdapter (class in etna.models.linear) _Logger (class in etna.loggers.base) _max_n_folds_backtest() (in module etna.commands.utils) _max_n_folds_forecast() (in module etna.commands.utils) _module_available() (in module etna.settings) _OneSegmentChangePointsLevelTransform (class in etna.transforms.decomposition.change_points_based.level) _OneSegmentChangePointsSegmentationTransform (class in etna.transforms.decomposition.change_points_based.segmentation) _OneSegmentChangePointsTransform (class in etna.transforms.decomposition.change_points_based.base) _OneSegmentChangePointsTrendTransform (class in etna.transforms.decomposition.change_points_based.detrend) _OneSegmentDeseasonalityTransform (class in etna.transforms.decomposition.deseasonal) _OneSegmentLinearTrendBaseTransform (class in etna.transforms.decomposition.detrend) _OneSegmentResampleWithDistributionTransform (class in etna.transforms.missing_values.resample) _OneSegmentSpecialDaysTransform (class in etna.transforms.timestamp.special_days) _OneSegmentSTLTransform (class in etna.transforms.decomposition.stl) _OneSegmentTrendTransform (class in etna.transforms.decomposition.change_points_based.trend) _prepare_axes() (in module etna.analysis.utils) _prepare_df() (in module etna.analysis.feature_relevance.relevance_table) _prepare_forecast_results() (in module etna.analysis.forecast.utils) _prepare_seasonal_plot_df() (in module etna.analysis.decomposition.utils) _ProphetAdapter (class in etna.models.prophet) _QuantileMetricMixin (class in etna.metrics.intervals_metrics) _resample() (in module etna.analysis.decomposition.utils) _SARIMAXAdapter (class in etna.models.sarimax) _SARIMAXBaseAdapter (class in etna.models.sarimax) _seasonal_split() (in module etna.analysis.decomposition.utils) _select_quantiles() (in module etna.analysis.forecast.utils) _select_segments_subset() (in module etna.analysis.outliers.prediction_interval_outliers) _SingleDifferencingTransform (class in etna.transforms.math.differencing) _SklearnAdapter (class in etna.models.sklearn) _StatsForecastBaseAdapter (class in etna.models.statsforecast) _TBATSAdapter (class in etna.models.tbats) _TorchDataset (class in etna.datasets.utils) _validate_intersecting_segments() (in module etna.analysis.forecast.utils)

A

absolute_difference_distance() (in module etna.analysis.outliers.density_outliers), [1] AbstractMetric (class in etna.metrics.base) AbstractModel (class in etna.models.base), [1] AbstractPipeline (class in etna.pipeline.base), [1] AbstractRunner (class in etna.auto.runner.base), [1] acf_plot() (in module etna.analysis.eda.plots), [1] add() (_Logger method) add_columns_from_pandas() (TSDataset method), [1] add_module() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] add_target_components() (TSDataset method), [1] AddConstTransform (class in etna.transforms.math.add_constant), [1] adjust_estimation() (in module etna.analysis.outliers.hist_outliers), [1] after_trial() (ConfigSampler method), [1] aggregate() (BaseReconciliator method), [1] (BottomUpReconciliator method), [1] (TopDownReconciliator method), [1] aggregate_metrics_df() (in module etna.metrics.utils), [1] AggregationMode (class in etna.analysis.feature_selection.mrmr_selection), [1] all_gather() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1]

apply() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] assemble_pipelines() (in module etna.pipeline.assembling_pipelines), [1] Auto (class in etna.auto.auto), [1] AutoAbstract (class in etna.auto.auto), [1] AutoARIMAModel (class in etna.models.autoarima), [1] AutoBase (class in etna.auto.auto), [1] automatic_optimization (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] AutoRegressivePipeline (class in etna.pipeline.autoregressive_pipeline), [1]

B

backtest() (AbstractPipeline method), [1] (AutoRegressivePipeline method), [1] (BasePipeline method), [1] (DirectEnsemble method), [1] (HierarchicalPipeline method), [1] (in module etna.commands.backtest_command), [1] (Pipeline method), [1] (StackingEnsemble method), [1] (VotingEnsemble method), [1] backward() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] BaseAdapter (class in etna.models.base), [1] BaseChangePointsModelAdapter (class in etna.transforms.decomposition.change_points_based.change_points_models.base), [1] BaseChangePointsTransform (class in etna.transforms.decomposition.change_points_based.base), [1] BaseDistribution (class in etna.distributions.distributions), [1] BaseFeatureSelectionTransform (class in etna.transforms.feature_selection.base), [1] BaseFileLogger (class in etna.loggers.file_logger), [1] BaseGaleShapley (class in etna.transforms.feature_selection.gale_shapley), [1] BaseLogger (class in etna.loggers.base), [1] BasePipeline (class in etna.pipeline.base), [1] BaseReconciliator (class in etna.reconciliation.base), [1] BATSModel (class in etna.models.tbats), [1] bfloat16() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]

BottomUpReconciliator (class in etna.reconciliation.bottom_up), [1] box (MetricPlotType attribute), [1] BoxCoxTransform (class in etna.transforms.math.power), [1] break_match() (GaleShapleyMatcher static method), [1] buffers() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] build_clustering_algo() (DTWClustering method), [1] (EuclideanClustering method), [1] (HierarchicalClustering method), [1] build_distance_matrix() (DTWClustering method), [1] (EuclideanClustering method), [1] (HierarchicalClustering method), [1]

C

calc_day_number_in_month() (in module etna.transforms.timestamp.special_days) calc_day_number_in_week() (in module etna.transforms.timestamp.special_days) CatBoostMultiSegmentModel (class in etna.models.catboost), [1] CatBoostPerSegmentModel (class in etna.models.catboost), [1] CategoricalDistribution (class in etna.distributions.distributions), [1] ChangePointsLevelTransform (class in etna.transforms.decomposition.change_points_based.level), [1] ChangePointsSegmentationTransform (class in etna.transforms.decomposition.change_points_based.segmentation), [1] ChangePointsTrendTransform (class in etna.transforms.decomposition.change_points_based.detrend), [1] check_new_segments() (in module etna.transforms.utils), [1] check_segment() (FeatureGaleShapley method), [1] children() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] choices (CategoricalDistribution attribute), [1] clear() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] clip_gradients() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] Clustering (class in etna.clustering.base), [1] ClusteringLinkageMode (class in etna.clustering.hierarchical.base), [1] columns (TSDataset property), [1] ComponentsMode (class in etna.analysis.forecast.plots), [1] CompositeSSM (class in etna.models.nn.deepstate.state_space_model), [1] compute_f() (in module etna.analysis.outliers.hist_outliers), [1] compute_horizon() (in module etna.commands.forecast_command), [1] compute_metrics() (in module etna.metrics.utils), [1] config_hash() (in module etna.auto.utils), [1] ConfigFileFinder (class in etna.settings), [1] ConfigSampler (class in etna.auto.optuna.config_sampler), [1] configure_callbacks() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] configure_gradient_clipping() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] configure_optimizers() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] configure_sharded_model() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] ConsoleLogger (class in etna.loggers.console_logger), [1] ConstantPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.constant), [1] context_size (AbstractModel property), [1] (AutoARIMAModel property), [1] (BATSModel property), [1] (CatBoostMultiSegmentModel property), [1] (CatBoostPerSegmentModel property), [1] (DeadlineMovingAverageModel property), [1] (DeepARModel property), [1] (DeepBaseModel property), [1] (DeepStateModel property), [1] (ElasticMultiSegmentModel property), [1] (ElasticPerSegmentModel property), [1] (HoltModel property), [1] (HoltWintersModel property), [1] (LinearMultiSegmentModel property), [1] (LinearPerSegmentModel property), [1] (MLPModel property), [1] (MovingAverageModel property), [1] (NaiveModel property), [1] (NBeatsBaseModel property), [1] (NBeatsGenericModel property), [1] (NBeatsInterpretableModel property), [1] (NonPredictionIntervalContextIgnorantAbstractModel property), [1] (NonPredictionIntervalContextRequiredAbstractModel property), [1] (PatchTSModel property), [1] (PredictionIntervalContextIgnorantAbstractModel property), [1] (PredictionIntervalContextRequiredAbstractModel property), [1] (ProphetModel property), [1] (RNNModel property), [1] (SARIMAXModel property), [1] (SeasonalMovingAverageModel property), [1] (SimpleExpSmoothingModel property), [1] (SklearnMultiSegmentModel property), [1] (SklearnPerSegmentModel property), [1] (StatsForecastARIMAModel property), [1] (StatsForecastAutoARIMAModel property), [1] (StatsForecastAutoCESModel property), [1] (StatsForecastAutoETSModel property), [1] (StatsForecastAutoThetaModel property), [1] (TBATSModel property), [1] (TFTModel property), [1]

copy() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] Coverage (class in etna.metrics.intervals_metrics), [1] cpu() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] create_inference_dataset() (PytorchForecastingDatasetBuilder method), [1] create_train_dataset() (PytorchForecastingDatasetBuilder method), [1] create_ts_by_column() (in module etna.analysis.outliers.prediction_interval_outliers), [1] cross_corr_plot() (in module etna.analysis.eda.plots), [1] CrossValidationMode (class in etna.pipeline.base), [1] cuda() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] current_epoch (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1]

D

DataFrameFormat (class in etna.datasets.utils), [1] DateFlagsTransform (class in etna.transforms.timestamp.date_flags), [1] DaylySeasonalitySSM (class in etna.models.nn.deepstate.state_space_model), [1] DeadlineMovingAverageModel (class in etna.models.deadline_ma), [1] DeepAbstractNet (class in etna.models.base), [1] DeepARModel (class in etna.models.nn.deepar), [1] DeepBaseAbstractModel (class in etna.models.base), [1] DeepBaseModel (class in etna.models.base), [1] DeepBaseNet (class in etna.models.base), [1] DeepStateBatch (class in etna.models.nn.deepstate.deepstate), [1] DeepStateModel (class in etna.models.nn.deepstate.deepstate), [1] DeepStateNet (class in etna.models.nn.deepstate.deepstate), [1] DensityOutliersTransform (class in etna.transforms.outliers.point_outliers), [1] describe() (TSDataset method), [1] DeseasonalityTransform (class in etna.transforms.decomposition.deseasonal), [1] DeseasonalModel (class in etna.transforms.decomposition.deseasonal), [1] detect_outliers() (DensityOutliersTransform method), [1] (MedianOutliersTransform method), [1] (OutliersTransform method), [1] (PredictionIntervalOutliersTransform method), [1] determine_freq() (in module etna.models.utils), [1] determine_num_steps() (in module etna.models.utils), [1] DifferencingTransform (class in etna.transforms.math.differencing), [1] DirectEnsemble (class in etna.ensembles.direct_ensemble), [1] disable() (_Logger method) Distance (class in etna.clustering.distances.base), [1]

DistanceMatrix (class in etna.clustering.distances.distance_matrix), [1] distribution_plot() (in module etna.analysis.eda.plots), [1] double() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] drop_features() (TSDataset method), [1] drop_target_components() (TSDataset method), [1] DTWClustering (class in etna.clustering.hierarchical.dtw_clustering), [1] DTWDistance (class in etna.clustering.distances.dtw_distance), [1] dummy() (in module etna.metrics.intervals_metrics) duplicate_data() (in module etna.datasets.utils), [1]

E

ElasticMultiSegmentModel (class in etna.models.linear), [1] ElasticPerSegmentModel (class in etna.models.linear), [1] emission_coeff() (CompositeSSM method), [1] (DaylySeasonalitySSM method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (SeasonalitySSM method), [1] (SSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] EnsembleMixin (class in etna.ensembles.mixins), [1] estimate_max_n_folds() (in module etna.commands.utils), [1] etna.analysis module etna.analysis.decomposition module etna.analysis.decomposition.plots module etna.analysis.decomposition.search module etna.analysis.decomposition.utils module etna.analysis.eda module etna.analysis.eda.plots module etna.analysis.eda.utils module etna.analysis.feature_relevance module etna.analysis.feature_relevance.plots module etna.analysis.feature_relevance.relevance module etna.analysis.feature_relevance.relevance_table module etna.analysis.feature_relevance.utils module etna.analysis.feature_selection module etna.analysis.feature_selection.mrmr_selection module etna.analysis.forecast module etna.analysis.forecast.plots module etna.analysis.forecast.utils module etna.analysis.outliers module etna.analysis.outliers.density_outliers module etna.analysis.outliers.hist_outliers module etna.analysis.outliers.median_outliers module etna.analysis.outliers.plots module etna.analysis.outliers.prediction_interval_outliers module etna.analysis.utils module etna.auto module etna.auto.auto module etna.auto.optuna module etna.auto.optuna.config_sampler module etna.auto.optuna.wrapper module etna.auto.pool module etna.auto.pool.generator module etna.auto.pool.templates module etna.auto.pool.utils module etna.auto.runner module etna.auto.runner.base module etna.auto.runner.local module etna.auto.runner.utils module etna.auto.utils module etna.clustering module etna.clustering.base module etna.clustering.distances module etna.clustering.distances.base module etna.clustering.distances.distance_matrix module etna.clustering.distances.dtw_distance module etna.clustering.distances.euclidean_distance module etna.clustering.hierarchical module etna.clustering.hierarchical.base module etna.clustering.hierarchical.dtw_clustering module etna.clustering.hierarchical.euclidean_clustering module etna.commands module etna.commands.backtest_command module etna.commands.forecast_command module etna.commands.resolvers module etna.commands.utils module etna.datasets module etna.datasets.datasets_generation module etna.datasets.hierarchical_structure module etna.datasets.tsdataset module etna.datasets.utils module etna.distributions module etna.distributions.distributions module etna.ensembles module etna.ensembles.direct_ensemble module etna.ensembles.mixins module etna.ensembles.stacking_ensemble module etna.ensembles.voting_ensemble module etna.loggers module etna.loggers.base module etna.loggers.console_logger module etna.loggers.file_logger module etna.loggers.wandb_logger module etna.metrics module etna.metrics.base module etna.metrics.functional_metrics module etna.metrics.intervals_metrics module etna.metrics.metrics module etna.metrics.utils module etna.models module etna.models.autoarima module etna.models.base module etna.models.catboost module etna.models.deadline_ma module etna.models.decorators module etna.models.holt_winters module etna.models.linear module etna.models.mixins module etna.models.moving_average module etna.models.naive module etna.models.nn module etna.models.nn.deepar module etna.models.nn.deepstate module etna.models.nn.deepstate.deepstate module etna.models.nn.deepstate.linear_dynamic_system module etna.models.nn.deepstate.state_space_model module etna.models.nn.mlp module etna.models.nn.nbeats module etna.models.nn.nbeats.blocks module

etna.models.nn.nbeats.metrics module etna.models.nn.nbeats.nbeats module etna.models.nn.nbeats.nets module etna.models.nn.nbeats.utils module etna.models.nn.patchts module etna.models.nn.rnn module etna.models.nn.tft module etna.models.nn.utils module etna.models.prophet module etna.models.sarimax module etna.models.seasonal_ma module etna.models.sklearn module etna.models.statsforecast module etna.models.tbats module etna.models.utils module etna.pipeline module etna.pipeline.assembling_pipelines module etna.pipeline.autoregressive_pipeline module etna.pipeline.base module etna.pipeline.hierarchical_pipeline module etna.pipeline.mixins module etna.pipeline.pipeline module etna.reconciliation module etna.reconciliation.base module etna.reconciliation.bottom_up module etna.reconciliation.top_down module etna.settings module etna.transforms module etna.transforms.base module etna.transforms.decomposition module etna.transforms.decomposition.change_points_based module etna.transforms.decomposition.change_points_based.base module etna.transforms.decomposition.change_points_based.change_points_models module etna.transforms.decomposition.change_points_based.change_points_models.base module etna.transforms.decomposition.change_points_based.change_points_models.ruptures_based module etna.transforms.decomposition.change_points_based.detrend module etna.transforms.decomposition.change_points_based.level module etna.transforms.decomposition.change_points_based.per_interval_models module etna.transforms.decomposition.change_points_based.per_interval_models.base module etna.transforms.decomposition.change_points_based.per_interval_models.constant module etna.transforms.decomposition.change_points_based.per_interval_models.sklearn_based module etna.transforms.decomposition.change_points_based.per_interval_models.statistics_based module etna.transforms.decomposition.change_points_based.segmentation module etna.transforms.decomposition.change_points_based.trend module etna.transforms.decomposition.deseasonal module etna.transforms.decomposition.detrend module etna.transforms.decomposition.stl module etna.transforms.encoders module etna.transforms.encoders.categorical module etna.transforms.encoders.mean_segment_encoder module etna.transforms.encoders.segment_encoder module etna.transforms.feature_selection module etna.transforms.feature_selection.base module etna.transforms.feature_selection.feature_importance module etna.transforms.feature_selection.filter module etna.transforms.feature_selection.gale_shapley module etna.transforms.math module etna.transforms.math.add_constant module etna.transforms.math.apply_lambda module etna.transforms.math.differencing module etna.transforms.math.lags module etna.transforms.math.log module etna.transforms.math.power module etna.transforms.math.scalers module etna.transforms.math.sklearn module etna.transforms.math.statistics module etna.transforms.missing_values module etna.transforms.missing_values.imputation module etna.transforms.missing_values.resample module etna.transforms.outliers module etna.transforms.outliers.base module etna.transforms.outliers.point_outliers module etna.transforms.timestamp module etna.transforms.timestamp.date_flags module etna.transforms.timestamp.fourier module etna.transforms.timestamp.holiday module etna.transforms.timestamp.special_days module etna.transforms.timestamp.time_flags module etna.transforms.utils module EuclideanClustering (class in etna.clustering.hierarchical.euclidean_clustering), [1] EuclideanDistance (class in etna.clustering.distances.euclidean_distance), [1] eval() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] example_input_array (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] ExogShiftTransform (class in etna.transforms.math.lags), [1] experiment (WandbLogger property), [1] extra_repr() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]

F

FeatureGaleShapley (class in etna.transforms.feature_selection.gale_shapley), [1] fill_template() (in module etna.auto.pool.utils), [1] filter_forecast() (in module etna.commands.forecast_command), [1] FilterFeaturesTransform (class in etna.transforms.feature_selection.filter), [1] find_change_points() (in module etna.analysis.decomposition.search), [1] finish_experiment() (_Logger method) (BaseFileLogger method), [1] (BaseLogger method), [1] (ConsoleLogger method), [1] (LocalFileLogger method), [1] (S3FileLogger method), [1] (WandbLogger method), [1] first (SeasonalPlotAlignment attribute), [1] fit() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_CatBoostAdapter method) (_HoltWintersAdapter method) (_LabelEncoder method) (_LinearAdapter method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_ProphetAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_SingleDifferencingTransform method) (_SklearnAdapter method) (_StatsForecastBaseAdapter method) (AbstractModel method), [1] (AbstractPipeline method), [1] (AddConstTransform method), [1] (Auto method), [1] (AutoAbstract method), [1] (AutoARIMAModel method), [1] (AutoBase method), [1] (AutoRegressivePipeline method), [1] (BaseFeatureSelectionTransform method), [1] (BasePipeline method), [1] (BaseReconciliator method), [1] (BATSModel method), [1] (BottomUpReconciliator method), [1] (BoxCoxTransform method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (ConstantPerIntervalModel method), [1] (DateFlagsTransform method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (DirectEnsemble method), [1] (DistanceMatrix method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HierarchicalPipeline method), [1] (HolidayTransform method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanPerIntervalModel method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianPerIntervalModel method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MLPModel method), [1] (MovingAverageModel method), [1] (MRMRFeatureSelectionTransform method), [1] (MultiSegmentModelMixin method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PatchTSModel method), [1] (PerIntervalModel method), [1] (PerSegmentModelMixin method), [1] (PerSegmentWrapper method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalOutliersTransform method), [1] (ProphetModel method), [1] (PytorchForecastingMixin method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RNNModel method), [1] (RobustScalerTransform method), [1] (SARIMAXModel method), [1] (SeasonalMovingAverageModel method), [1] (SegmentEncoderTransform method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnPreprocessingPerIntervalModel method), [1] (SklearnRegressionPerIntervalModel method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StackingEnsemble method), [1] (StandardScalerTransform method), [1] (StatisticsPerIntervalModel method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TBATSModel method), [1] (TFTModel method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (TopDownReconciliator method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (Tune method), [1] (VotingEnsemble method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1] fit_predict() (Clustering method), [1] (DistanceMatrix method), [1] (DTWClustering method), [1] (EuclideanClustering method), [1] (HierarchicalClustering method), [1] fit_transform() (_LabelEncoder method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_SingleDifferencingTransform method) (AddConstTransform method), [1] (BaseFeatureSelectionTransform method), [1] (BoxCoxTransform method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HolidayTransform method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MRMRFeatureSelectionTransform method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PerSegmentWrapper method), [1] (PredictionIntervalOutliersTransform method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RobustScalerTransform method), [1] (SegmentEncoderTransform method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StandardScalerTransform method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (TSDataset method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1]

float() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] FloatDistribution (class in etna.distributions.distributions), [1] FoldMask (class in etna.pipeline.base), [1] FoldParallelGroup (class in etna.pipeline.base), [1] forecast() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_StatsForecastBaseAdapter method) (AbstractPipeline method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BasePipeline method), [1] (BATSModel method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DirectEnsemble method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (HierarchicalPipeline method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (in module etna.commands.forecast_command), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (MLPModel method), [1] (MovingAverageModel method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextIgnorantModelMixin method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (NonPredictionIntervalContextRequiredModelMixin method), [1] (PatchTSModel method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextIgnorantModelMixin method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalContextRequiredModelMixin method), [1] (ProphetModel method), [1] (RNNModel method), [1] (SARIMAXModel method), [1] (SeasonalMovingAverageModel method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (StackingEnsemble method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (TBATSModel method), [1] (TFTModel method), [1] (VotingEnsemble method), [1] forecast_components() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_CatBoostAdapter method) (_HoltWintersAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_StatsForecastBaseAdapter method) (_TBATSAdapter method) forward() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] FourierTransform (class in etna.transforms.timestamp.fourier), [1] freeze() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] from_compiled() (DeepBaseNet class method), [1] (DeepStateNet class method), [1] (MLPNet class method), [1] (NBeatsBaseNet class method), [1] (NBeatsGenericNet class method), [1] (NBeatsInterpretableNet class method), [1] (PatchTSNet class method), [1] (RNNNet class method), [1] fromkeys() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] FutureMixin (class in etna.transforms.base), [1]

G

GaleShapleyFeatureSelectionTransform (class in etna.transforms.feature_selection.gale_shapley), [1] GaleShapleyMatcher (class in etna.transforms.feature_selection.gale_shapley), [1] generate() (PoolGenerator method), [1] generate_ar_df() (in module etna.datasets.datasets_generation), [1] generate_const_df() (in module etna.datasets.datasets_generation), [1] generate_datetime_index() (CompositeSSM method), [1] (DaylySeasonalitySSM method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (SeasonalitySSM method), [1] (SSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] generate_from_patterns_df() (in module etna.datasets.datasets_generation), [1] generate_hierarchical_df() (in module etna.datasets.datasets_generation), [1] generate_periodic_df() (in module etna.datasets.datasets_generation), [1] generate_possible_local_files() (ConfigFileFinder method), [1] GenericBasis (class in etna.models.nn.nbeats.blocks), [1] get() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] get_anomalies_density() (in module etna.analysis.outliers.density_outliers), [1] get_anomalies_hist() (in module etna.analysis.outliers.hist_outliers), [1] get_anomalies_median() (in module etna.analysis.outliers.median_outliers), [1] get_anomalies_prediction_interval() (in module etna.analysis.outliers.prediction_interval_outliers), [1] get_average() (Distance method), [1] (DTWDistance method), [1] (EuclideanDistance method), [1] get_buffer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] get_centroids() (Clustering method), [1] (DTWClustering method), [1] (EuclideanClustering method), [1] (HierarchicalClustering method), [1] get_change_points() (BaseChangePointsModelAdapter method), [1] (RupturesChangePointsModel method), [1] get_change_points_intervals() (BaseChangePointsModelAdapter method), [1] (RupturesChangePointsModel method), [1] get_config_by_hash() (ConfigSampler method), [1] get_correlation_matrix() (in module etna.analysis.eda.utils), [1] get_extra_state() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] get_function() (MetricPlotType method), [1] (PerFoldAggregation method), [1] (SeasonalPlotAggregation method), [1] get_level_dataframe() (in module etna.datasets.utils), [1] get_level_dataset() (TSDataset method), [1] get_level_depth() (HierarchicalStructure method), [1] get_level_segments() (HierarchicalStructure method), [1] get_model() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_CatBoostAdapter method) (_HoltWintersAdapter method) (_LinearAdapter method) (_ProphetAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_SklearnAdapter method) (_StatsForecastBaseAdapter method) (_TBATSAdapter method) (AbstractModel method), [1] (AutoARIMAModel method), [1] (BaseAdapter method), [1] (BATSModel method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseAbstractModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (MLPModel method), [1] (MovingAverageModel method), [1] (MultiSegmentModelMixin method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (PatchTSModel method), [1] (PerSegmentModelMixin method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (ProphetModel method), [1] (RNNModel method), [1] (SARIMAXModel method), [1] (SeasonalMovingAverageModel method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (TBATSModel method), [1] (TFTModel method), [1]

get_model_relevance_table() (in module etna.analysis.feature_relevance.relevance_table), [1] get_next_candidate() (SegmentGaleShapley method), [1] get_parameter() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] get_params() (_LabelEncoder method) get_regressors_info() (_SingleDifferencingTransform method) (AddConstTransform method), [1] (BaseFeatureSelectionTransform method), [1] (BoxCoxTransform method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HolidayTransform method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MRMRFeatureSelectionTransform method), [1] (OneHotEncoderTransform method), [1] (OutliersTransform method), [1] (PerSegmentWrapper method), [1] (PredictionIntervalOutliersTransform method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RobustScalerTransform method), [1] (SegmentEncoderTransform method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StandardScalerTransform method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1] get_residuals() (in module etna.analysis.forecast.utils), [1] get_segment_density_outliers_indices() (in module etna.analysis.outliers.density_outliers) get_segment_level() (HierarchicalStructure method), [1] get_statistics_relevance_table() (in module etna.analysis.feature_relevance.relevance_table), [1] get_submodule() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] get_summing_matrix() (HierarchicalStructure method), [1] get_target_components() (TSDataset method), [1] get_target_with_quantiles() (in module etna.datasets.utils), [1] get_timestamp_transform() (DaylySeasonalitySSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] GETBOOL_ACTIONS (MergedConfigParser attribute), [1] global_rank (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] global_step (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] greater_is_better (_DummyMetric property) (AbstractMetric property) (Coverage property), [1] (MAE property), [1] (MAPE property), [1] (MaxDeviation property), [1] (MedAE property), [1] (Metric property), [1] (MSE property), [1] (MSLE property), [1] (R2 property), [1] (RMSE property), [1] (Sign property), [1] (SMAPE property), [1] (WAPE property), [1] (Width property), [1]

H

half() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] has_hierarchy() (TSDataset method), [1] head() (TSDataset method), [1] HierarchicalClustering (class in etna.clustering.hierarchical.base), [1] HierarchicalPipeline (class in etna.pipeline.hierarchical_pipeline), [1] HierarchicalStructure (class in etna.datasets.hierarchical_structure), [1]

high (FloatDistribution attribute), [1] (IntDistribution attribute), [1] hist (MetricPlotType attribute), [1] hist() (in module etna.analysis.outliers.hist_outliers), [1] HolidayTransform (class in etna.transforms.timestamp.holiday), [1] HolidayTransformMode (class in etna.transforms.timestamp.holiday), [1] HoltModel (class in etna.models.holt_winters), [1] HoltWintersModel (class in etna.models.holt_winters), [1] hparams (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] hparams_initial (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1]

I

ImputerMode (class in etna.transforms.encoders.categorical), [1] (class in etna.transforms.missing_values.imputation) index (TSDataset property), [1] infer_relative_search_space() (ConfigSampler method), [1] info() (TSDataset method), [1] innovation_coeff() (CompositeSSM method), [1] (DaylySeasonalitySSM method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (SeasonalitySSM method), [1] (SSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] IntDistribution (class in etna.distributions.distributions), [1] inverse() (SklearnPreprocessingPerIntervalModel method), [1] inverse_transform() (_LabelEncoder method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_SingleDifferencingTransform method) (AddConstTransform method), [1] (BaseFeatureSelectionTransform method), [1] (BoxCoxTransform method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HolidayTransform method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MRMRFeatureSelectionTransform method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PerSegmentWrapper method), [1] (PredictionIntervalOutliersTransform method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RobustScalerTransform method), [1] (SegmentEncoderTransform method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StandardScalerTransform method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (TSDataset method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1]

inverse_transform_target_components() (in module etna.datasets.utils), [1] IrreversibleChangePointsTransform (class in etna.transforms.decomposition.change_points_based.base), [1] IrreversiblePerSegmentWrapper (class in etna.transforms.base), [1] IrreversibleTransform (class in etna.transforms.base), [1] isnull() (TSDataset method), [1] items() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1]

K

kalman_filter() (LDS method), [1] kalman_filter_step() (LDS method), [1] keys() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1]

L

LabelEncoderTransform (class in etna.transforms.encoders.categorical), [1] LagTransform (class in etna.transforms.math.lags), [1] LambdaTransform (class in etna.transforms.math.apply_lambda), [1] last (SeasonalPlotAlignment attribute), [1] latent_dim() (CompositeSSM method), [1] (DaylySeasonalitySSM method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (SeasonalitySSM method), [1] (SSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] LDS (class in etna.models.nn.deepstate.linear_dynamic_system), [1] level_names() (TSDataset method), [1] LevelSSM (class in etna.models.nn.deepstate.state_space_model), [1] LevelTrendSSM (class in etna.models.nn.deepstate.state_space_model), [1] LinearMultiSegmentModel (class in etna.models.linear), [1] LinearPerSegmentModel (class in etna.models.linear), [1] LinearTrendTransform (class in etna.transforms.decomposition.detrend), [1] load() (_SingleDifferencingTransform class method) (AbstractModel class method), [1] (AbstractPipeline class method), [1] (AddConstTransform class method), [1] (AutoARIMAModel class method), [1] (AutoRegressivePipeline class method), [1] (BaseFeatureSelectionTransform class method), [1] (BasePipeline class method), [1] (BATSModel class method), [1] (BoxCoxTransform class method), [1] (CatBoostMultiSegmentModel class method), [1] (CatBoostPerSegmentModel class method), [1] (ChangePointsLevelTransform class method), [1] (ChangePointsSegmentationTransform class method), [1] (ChangePointsTrendTransform class method), [1] (DateFlagsTransform class method), [1] (DeadlineMovingAverageModel class method), [1] (DeepARModel class method), [1] (DeepBaseModel class method), [1] (DeepStateModel class method), [1] (DensityOutliersTransform class method), [1] (DeseasonalityTransform class method), [1] (DifferencingTransform class method), [1] (DirectEnsemble class method), [1] (ElasticMultiSegmentModel class method), [1] (ElasticPerSegmentModel class method), [1] (ExogShiftTransform class method), [1] (FilterFeaturesTransform class method), [1] (FourierTransform class method), [1] (GaleShapleyFeatureSelectionTransform class method), [1] (HierarchicalPipeline class method), [1] (HolidayTransform class method), [1] (HoltModel class method), [1] (HoltWintersModel class method), [1] (IrreversibleChangePointsTransform class method), [1] (IrreversiblePerSegmentWrapper class method), [1] (IrreversibleTransform class method), [1] (LabelEncoderTransform class method), [1] (LagTransform class method), [1] (LambdaTransform class method), [1] (LinearMultiSegmentModel class method), [1] (LinearPerSegmentModel class method), [1] (LinearTrendTransform class method), [1] (LogTransform class method), [1] (MADTransform class method), [1] (MaxAbsScalerTransform class method), [1] (MaxTransform class method), [1] (MeanSegmentEncoderTransform class method), [1] (MeanTransform class method), [1] (MedianOutliersTransform class method), [1] (MedianTransform class method), [1] (MinMaxDifferenceTransform class method), [1] (MinMaxScalerTransform class method), [1] (MinTransform class method), [1] (MLPModel class method), [1] (MovingAverageModel class method), [1] (MRMRFeatureSelectionTransform class method), [1] (NaiveModel class method), [1] (NBeatsBaseModel class method), [1] (NBeatsGenericModel class method), [1] (NBeatsInterpretableModel class method), [1] (NonPredictionIntervalContextIgnorantAbstractModel class method), [1] (NonPredictionIntervalContextRequiredAbstractModel class method), [1] (OneHotEncoderTransform class method), [1] (OutliersTransform class method), [1] (PatchTSModel class method), [1] (PerSegmentWrapper class method), [1] (Pipeline class method), [1] (PredictionIntervalContextIgnorantAbstractModel class method), [1] (PredictionIntervalContextRequiredAbstractModel class method), [1] (PredictionIntervalOutliersTransform class method), [1] (ProphetModel class method), [1] (QuantileTransform class method), [1] (ResampleWithDistributionTransform class method), [1] (ReversibleChangePointsTransform class method), [1] (ReversiblePerSegmentWrapper class method), [1] (ReversibleTransform class method), [1] (RNNModel class method), [1] (RobustScalerTransform class method), [1] (SARIMAXModel class method), [1] (SaveEnsembleMixin class method), [1] (SaveModelPipelineMixin class method), [1] (SaveNNMixin class method), [1] (SeasonalMovingAverageModel class method), [1] (SegmentEncoderTransform class method), [1] (SimpleExpSmoothingModel class method), [1] (SklearnMultiSegmentModel class method), [1] (SklearnPerSegmentModel class method), [1] (SklearnTransform class method), [1] (SpecialDaysTransform class method), [1] (StackingEnsemble class method), [1] (StandardScalerTransform class method), [1] (StatsForecastARIMAModel class method), [1] (StatsForecastAutoARIMAModel class method), [1] (StatsForecastAutoCESModel class method), [1] (StatsForecastAutoETSModel class method), [1] (StatsForecastAutoThetaModel class method), [1] (StdTransform class method), [1] (STLTransform class method), [1] (SumTransform class method), [1] (TBATSModel class method), [1] (TFTModel class method), [1] (TheilSenTrendTransform class method), [1] (TimeFlagsTransform class method), [1] (TimeSeriesImputerTransform class method), [1] (Transform class method), [1] (TreeFeatureSelectionTransform class method), [1] (TrendTransform class method), [1] (VotingEnsemble class method), [1] (WindowStatisticsTransform class method), [1] (YeoJohnsonTransform class method), [1]

load_from_checkpoint() (DeepBaseNet class method), [1] (DeepStateNet class method), [1] (MLPNet class method), [1] (NBeatsBaseNet class method), [1] (NBeatsGenericNet class method), [1] (NBeatsInterpretableNet class method), [1] (PatchTSNet class method), [1] (RNNNet class method), [1] load_state_dict() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] loc (TSDataset property), [1] local_config_files() (ConfigFileFinder method), [1] local_configs() (ConfigFileFinder method), [1] local_rank (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] LocalFileLogger (class in etna.loggers.file_logger), [1] LocalRunner (class in etna.auto.runner.local), [1] log (FloatDistribution attribute), [1] (IntDistribution attribute), [1] log() (_Logger method) (BaseFileLogger method), [1] (BaseLogger method), [1] (ConsoleLogger method), [1] (DeepBaseNet method), [1] (DeepStateNet method), [1] (LocalFileLogger method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] (S3FileLogger method), [1] (WandbLogger method), [1] log_backtest_metrics() (_Logger method) (BaseFileLogger method), [1] (BaseLogger method), [1] (ConsoleLogger method), [1] (LocalFileLogger method), [1] (S3FileLogger method), [1] (WandbLogger method), [1] log_backtest_run() (_Logger method) (BaseFileLogger method), [1] (BaseLogger method), [1] (ConsoleLogger method), [1] (LocalFileLogger method), [1] (S3FileLogger method), [1] (WandbLogger method), [1] log_decorator() (in module etna.models.decorators), [1] log_dict() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] log_grad_norm() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] log_likelihood() (LDS method), [1] logger (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] loggers (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] LogTransform (class in etna.transforms.math.log), [1] low (FloatDistribution attribute), [1] (IntDistribution attribute), [1] lr_scheduler_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] lr_schedulers() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1]

M

MADTransform (class in etna.transforms.math.statistics), [1] MAE (class in etna.metrics.metrics), [1] make_future() (TSDataset method), [1] make_samples() (DeepAbstractNet method), [1] (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] manual_backward() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] MAPE (class in etna.metrics.metrics), [1] mape() (in module etna.metrics.functional_metrics), [1] match() (GaleShapleyMatcher static method), [1] match_target_components() (in module etna.datasets.utils), [1] match_target_quantiles() (in module etna.datasets.utils), [1] max_deviation() (in module etna.metrics.functional_metrics), [1] MaxAbsScalerTransform (class in etna.transforms.math.scalers), [1] MaxDeviation (class in etna.metrics.metrics), [1] MaxTransform (class in etna.transforms.math.statistics), [1] MeanPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.statistics_based), [1] MeanSegmentEncoderTransform (class in etna.transforms.encoders.mean_segment_encoder), [1] MeanTransform (class in etna.transforms.math.statistics), [1] MedAE (class in etna.metrics.metrics), [1] MedianOutliersTransform (class in etna.transforms.outliers.point_outliers), [1] MedianPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.statistics_based), [1] MedianTransform (class in etna.transforms.math.statistics), [1] MergedConfigParser (class in etna.settings), [1] MethodsWithFolds (class in etna.commands.utils), [1] Metric (class in etna.metrics.base), [1] metric_per_segment_distribution_plot() (in module etna.analysis.forecast.plots), [1] MetricAggregationMode (class in etna.metrics.base), [1] MetricPlotType (class in etna.analysis.forecast.plots), [1] MinMaxDifferenceTransform (class in etna.transforms.math.statistics), [1] MinMaxScalerTransform (class in etna.transforms.math.scalers), [1] MinTransform (class in etna.transforms.math.statistics), [1] MLPBatch (class in etna.models.nn.mlp), [1] MLPModel (class in etna.models.nn.mlp), [1] MLPNet (class in etna.models.nn.mlp), [1] ModelForecastingMixin (class in etna.models.mixins), [1] ModelPipelineParamsToTuneMixin (class in etna.pipeline.mixins), [1] ModelPipelinePredictMixin (class in etna.pipeline.mixins), [1] ModelRelevanceTable (class in etna.analysis.feature_relevance.relevance), [1] module etna.analysis etna.analysis.decomposition etna.analysis.decomposition.plots etna.analysis.decomposition.search etna.analysis.decomposition.utils etna.analysis.eda etna.analysis.eda.plots etna.analysis.eda.utils etna.analysis.feature_relevance etna.analysis.feature_relevance.plots etna.analysis.feature_relevance.relevance etna.analysis.feature_relevance.relevance_table etna.analysis.feature_relevance.utils etna.analysis.feature_selection etna.analysis.feature_selection.mrmr_selection etna.analysis.forecast etna.analysis.forecast.plots etna.analysis.forecast.utils etna.analysis.outliers etna.analysis.outliers.density_outliers etna.analysis.outliers.hist_outliers etna.analysis.outliers.median_outliers etna.analysis.outliers.plots etna.analysis.outliers.prediction_interval_outliers etna.analysis.utils etna.auto etna.auto.auto etna.auto.optuna etna.auto.optuna.config_sampler etna.auto.optuna.wrapper etna.auto.pool etna.auto.pool.generator etna.auto.pool.templates etna.auto.pool.utils etna.auto.runner etna.auto.runner.base etna.auto.runner.local etna.auto.runner.utils etna.auto.utils etna.clustering etna.clustering.base etna.clustering.distances etna.clustering.distances.base etna.clustering.distances.distance_matrix etna.clustering.distances.dtw_distance etna.clustering.distances.euclidean_distance etna.clustering.hierarchical etna.clustering.hierarchical.base etna.clustering.hierarchical.dtw_clustering etna.clustering.hierarchical.euclidean_clustering etna.commands etna.commands.backtest_command etna.commands.forecast_command etna.commands.resolvers etna.commands.utils etna.datasets etna.datasets.datasets_generation etna.datasets.hierarchical_structure etna.datasets.tsdataset etna.datasets.utils etna.distributions etna.distributions.distributions etna.ensembles etna.ensembles.direct_ensemble etna.ensembles.mixins etna.ensembles.stacking_ensemble etna.ensembles.voting_ensemble etna.loggers etna.loggers.base etna.loggers.console_logger etna.loggers.file_logger etna.loggers.wandb_logger etna.metrics etna.metrics.base etna.metrics.functional_metrics etna.metrics.intervals_metrics etna.metrics.metrics etna.metrics.utils etna.models etna.models.autoarima etna.models.base etna.models.catboost etna.models.deadline_ma etna.models.decorators etna.models.holt_winters etna.models.linear etna.models.mixins etna.models.moving_average etna.models.naive etna.models.nn etna.models.nn.deepar etna.models.nn.deepstate etna.models.nn.deepstate.deepstate etna.models.nn.deepstate.linear_dynamic_system etna.models.nn.deepstate.state_space_model etna.models.nn.mlp etna.models.nn.nbeats etna.models.nn.nbeats.blocks etna.models.nn.nbeats.metrics etna.models.nn.nbeats.nbeats etna.models.nn.nbeats.nets etna.models.nn.nbeats.utils etna.models.nn.patchts etna.models.nn.rnn etna.models.nn.tft etna.models.nn.utils etna.models.prophet etna.models.sarimax etna.models.seasonal_ma etna.models.sklearn etna.models.statsforecast etna.models.tbats etna.models.utils etna.pipeline etna.pipeline.assembling_pipelines etna.pipeline.autoregressive_pipeline etna.pipeline.base etna.pipeline.hierarchical_pipeline etna.pipeline.mixins etna.pipeline.pipeline etna.reconciliation etna.reconciliation.base etna.reconciliation.bottom_up etna.reconciliation.top_down etna.settings etna.transforms etna.transforms.base etna.transforms.decomposition etna.transforms.decomposition.change_points_based etna.transforms.decomposition.change_points_based.base etna.transforms.decomposition.change_points_based.change_points_models etna.transforms.decomposition.change_points_based.change_points_models.base etna.transforms.decomposition.change_points_based.change_points_models.ruptures_based etna.transforms.decomposition.change_points_based.detrend etna.transforms.decomposition.change_points_based.level etna.transforms.decomposition.change_points_based.per_interval_models etna.transforms.decomposition.change_points_based.per_interval_models.base etna.transforms.decomposition.change_points_based.per_interval_models.constant etna.transforms.decomposition.change_points_based.per_interval_models.sklearn_based etna.transforms.decomposition.change_points_based.per_interval_models.statistics_based etna.transforms.decomposition.change_points_based.segmentation etna.transforms.decomposition.change_points_based.trend etna.transforms.decomposition.deseasonal etna.transforms.decomposition.detrend etna.transforms.decomposition.stl etna.transforms.encoders etna.transforms.encoders.categorical etna.transforms.encoders.mean_segment_encoder etna.transforms.encoders.segment_encoder etna.transforms.feature_selection etna.transforms.feature_selection.base etna.transforms.feature_selection.feature_importance etna.transforms.feature_selection.filter etna.transforms.feature_selection.gale_shapley etna.transforms.math etna.transforms.math.add_constant etna.transforms.math.apply_lambda etna.transforms.math.differencing etna.transforms.math.lags etna.transforms.math.log etna.transforms.math.power etna.transforms.math.scalers etna.transforms.math.sklearn etna.transforms.math.statistics etna.transforms.missing_values etna.transforms.missing_values.imputation etna.transforms.missing_values.resample etna.transforms.outliers etna.transforms.outliers.base etna.transforms.outliers.point_outliers etna.transforms.timestamp etna.transforms.timestamp.date_flags etna.transforms.timestamp.fourier etna.transforms.timestamp.holiday etna.transforms.timestamp.special_days etna.transforms.timestamp.time_flags etna.transforms.utils

modules() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] MovingAverageModel (class in etna.models.moving_average), [1] mrmr() (in module etna.analysis.feature_selection.mrmr_selection), [1] MRMRFeatureSelectionTransform (class in etna.transforms.feature_selection.feature_importance), [1] MSE (class in etna.metrics.metrics), [1] MSLE (class in etna.metrics.metrics), [1] mult() (in module etna.commands.resolvers), [1] MultiSegmentModelMixin (class in etna.models.mixins), [1]

N

NaiveModel (class in etna.models.naive), [1] name (_DummyMetric property) (AbstractMetric property) (Coverage property), [1] (MAE property), [1] (MAPE property), [1] (MaxDeviation property), [1] (MedAE property), [1] (Metric property), [1] (MSE property), [1] (MSLE property), [1] (R2 property), [1] (RMSE property), [1] (Sign property), [1] (SMAPE property), [1] (WAPE property), [1] (Width property), [1] named_buffers() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] named_children() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]

named_modules() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] named_parameters() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] NBeats (class in etna.models.nn.nbeats.blocks), [1] NBeatsBaseModel (class in etna.models.nn.nbeats.nbeats), [1] NBeatsBaseNet (class in etna.models.nn.nbeats.nets), [1] NBeatsBatch (class in etna.models.nn.nbeats.nets), [1] NBeatsBlock (class in etna.models.nn.nbeats.blocks), [1] NBeatsGenericModel (class in etna.models.nn.nbeats.nbeats), [1] NBeatsGenericNet (class in etna.models.nn.nbeats.nets), [1] NBeatsInterpretableModel (class in etna.models.nn.nbeats.nbeats), [1] NBeatsInterpretableNet (class in etna.models.nn.nbeats.nets), [1] NBeatsLoss (class in etna.models.nn.nbeats.metrics), [1] NBeatsMAE (class in etna.models.nn.nbeats.metrics), [1] NBeatsMAPE (class in etna.models.nn.nbeats.metrics), [1] NBeatsMSE (class in etna.models.nn.nbeats.metrics), [1] NBeatsSMAPE (class in etna.models.nn.nbeats.metrics), [1] NonPredictionIntervalContextIgnorantAbstractModel (class in etna.models.base), [1] NonPredictionIntervalContextIgnorantModelMixin (class in etna.models.mixins), [1] NonPredictionIntervalContextRequiredAbstractModel (class in etna.models.base), [1] NonPredictionIntervalContextRequiredModelMixin (class in etna.models.mixins), [1]

O

objective() (Auto static method), [1] (Tune static method), [1] on_after_backward() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_after_batch_transfer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_before_backward() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_before_batch_transfer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_before_optimizer_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_before_zero_grad() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_fit_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_fit_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_gpu (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] on_load_checkpoint() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_batch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_batch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_epoch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_model_eval() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_predict_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_save_checkpoint() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_batch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_batch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1]

on_test_epoch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_model_eval() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_model_train() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_test_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_batch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_batch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_epoch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_train_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_batch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_batch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_epoch_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_model_eval() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_model_train() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] on_validation_start() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] OneHotEncoderTransform (class in etna.transforms.encoders.categorical), [1] OneSegmentTransform (class in etna.transforms.base), [1] optimal_sse() (in module etna.analysis.outliers.hist_outliers), [1] optimizer_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] optimizer_zero_grad() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] optimizers() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] Optuna (class in etna.auto.optuna.wrapper), [1] OutliersTransform (class in etna.transforms.outliers.base), [1]

P

ParallelLocalRunner (class in etna.auto.runner.local), [1] parameters() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] params_to_tune() (_SingleDifferencingTransform method) (AbstractModel method), [1] (AbstractPipeline method), [1] (AddConstTransform method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BaseFeatureSelectionTransform method), [1] (BasePipeline method), [1] (BATSModel method), [1] (BoxCoxTransform method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (DirectEnsemble method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HierarchicalPipeline method), [1] (HolidayTransform method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MLPModel method), [1] (ModelPipelineParamsToTuneMixin method), [1] (MovingAverageModel method), [1] (MRMRFeatureSelectionTransform method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (OneHotEncoderTransform method), [1] (OutliersTransform method), [1] (PatchTSModel method), [1] (PerSegmentWrapper method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalOutliersTransform method), [1] (ProphetModel method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RNNModel method), [1] (RobustScalerTransform method), [1] (SARIMAXModel method), [1] (SeasonalMovingAverageModel method), [1] (SegmentEncoderTransform method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StackingEnsemble method), [1] (StandardScalerTransform method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TBATSModel method), [1] (TFTModel method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (VotingEnsemble method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1] parse() (MergedConfigParser method), [1] (Settings static method), [1] PatchTSBatch (class in etna.models.nn.patchts), [1] PatchTSModel (class in etna.models.nn.patchts), [1] PatchTSNet (class in etna.models.nn.patchts), [1] percentile() (in module etna.metrics.utils), [1] PerFoldAggregation (class in etna.analysis.forecast.plots), [1] PerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.base), [1] PerSegmentModelMixin (class in etna.models.mixins), [1] PerSegmentWrapper (class in etna.transforms.base), [1] Pipeline (class in etna.pipeline.pipeline), [1] pl_logger (ConsoleLogger property), [1] (WandbLogger property), [1] pl_loggers (_Logger property) plot() (TSDataset method), [1] plot_anomalies() (in module etna.analysis.outliers.plots), [1] plot_anomalies_interactive() (in module etna.analysis.outliers.plots), [1] plot_backtest() (in module etna.analysis.forecast.plots), [1] plot_backtest_interactive() (in module etna.analysis.forecast.plots), [1] plot_change_points_interactive() (in module etna.analysis.decomposition.plots), [1] plot_clusters() (in module etna.analysis.eda.plots), [1] plot_correlation_matrix() (in module etna.analysis.eda.plots), [1] plot_feature_relevance() (in module etna.analysis.feature_relevance.plots), [1] plot_forecast() (in module etna.analysis.forecast.plots), [1]

plot_forecast_decomposition() (in module etna.analysis.forecast.plots), [1] plot_holidays() (in module etna.analysis.eda.plots), [1] plot_imputation() (in module etna.analysis.eda.plots), [1] plot_metric_per_segment() (in module etna.analysis.forecast.plots), [1] plot_periodogram() (in module etna.analysis.eda.plots), [1] plot_residuals() (in module etna.analysis.forecast.plots), [1] plot_time_series_with_change_points() (in module etna.analysis.decomposition.plots), [1] plot_trend() (in module etna.analysis.decomposition.plots), [1] Pool (class in etna.auto.pool.generator), [1] PoolGenerator (class in etna.auto.pool.generator), [1] pop() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] popitem() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] PositionalEncoding (class in etna.models.nn.patchts), [1] predict() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_CatBoostAdapter method) (_HoltWintersAdapter method) (_LinearAdapter method) (_ProphetAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_SklearnAdapter method) (_StatsForecastBaseAdapter method) (AbstractPipeline method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BasePipeline method), [1] (BATSModel method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ConstantPerIntervalModel method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DirectEnsemble method), [1] (DistanceMatrix method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (HierarchicalPipeline method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (MeanPerIntervalModel method), [1] (MedianPerIntervalModel method), [1] (MLPModel method), [1] (MovingAverageModel method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextIgnorantModelMixin method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (NonPredictionIntervalContextRequiredModelMixin method), [1] (PatchTSModel method), [1] (PerIntervalModel method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextIgnorantModelMixin method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalContextRequiredModelMixin method), [1] (ProphetModel method), [1] (RNNModel method), [1] (SARIMAXModel method), [1] (SeasonalMovingAverageModel method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnPreprocessingPerIntervalModel method), [1] (SklearnRegressionPerIntervalModel method), [1] (StackingEnsemble method), [1] (StatisticsPerIntervalModel method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (TBATSModel method), [1] (TFTModel method), [1] (VotingEnsemble method), [1] predict_components() (_ARIMAAdapter method) (_AutoARIMAAdapter method), [1] (_AutoCESAdapter method) (_AutoETSAdapter method) (_AutoThetaAdapter method) (_CatBoostAdapter method) (_HoltWintersAdapter method) (_LinearAdapter method) (_ProphetAdapter method) (_SARIMAXAdapter method) (_SARIMAXBaseAdapter method) (_SklearnAdapter method) (_StatsForecastBaseAdapter method) (_TBATSAdapter method) predict_dataloader() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] predict_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] prediction_actual_scatter_plot() (in module etna.analysis.forecast.plots), [1] PredictionIntervalContextIgnorantAbstractModel (class in etna.models.base), [1] PredictionIntervalContextIgnorantModelMixin (class in etna.models.mixins), [1] PredictionIntervalContextRequiredAbstractModel (class in etna.models.base), [1] PredictionIntervalContextRequiredModelMixin (class in etna.models.mixins), [1] PredictionIntervalOutliersTransform (class in etna.transforms.outliers.point_outliers), [1] prepare_data() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] prepare_test_batch() (in module etna.models.nn.nbeats.utils), [1] prepare_train_batch() (in module etna.models.nn.nbeats.utils), [1] print() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] ProphetModel (class in etna.models.prophet), [1] PytorchForecastingDatasetBuilder (class in etna.models.nn.utils), [1] PytorchForecastingMixin (class in etna.models.nn.utils), [1]

Q

qq_plot() (in module etna.analysis.forecast.plots), [1]

QuantileTransform (class in etna.transforms.math.statistics), [1]

R

R2 (class in etna.metrics.metrics), [1] raw_fit() (DeepBaseAbstractModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (MLPModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (PatchTSModel method), [1] (RNNModel method), [1] raw_forecast() (HierarchicalPipeline method), [1] raw_predict() (DeepBaseAbstractModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (HierarchicalPipeline method), [1] (MLPModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (PatchTSModel method), [1] (RNNModel method), [1] reconcile() (BaseReconciliator method), [1] (BottomUpReconciliator method), [1] (TopDownReconciliator method), [1] ReconciliationProportionsMethod (class in etna.reconciliation.top_down), [1] register_backward_hook() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] register_buffer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] register_forward_hook() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] register_forward_pre_hook() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]

register_full_backward_hook() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] register_module() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] register_parameter() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] regressors (TSDataset property), [1] reinit_experiment() (WandbLogger method), [1] RelevanceTable (class in etna.analysis.feature_relevance.relevance), [1] remove() (_Logger method) remove_params() (in module etna.commands.utils), [1] requires_grad_() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] ResampleWithDistributionTransform (class in etna.transforms.missing_values.resample), [1] reseed_rng() (ConfigSampler method), [1] reset_tmp_match() (BaseGaleShapley method), [1] (FeatureGaleShapley method), [1] (SegmentGaleShapley method), [1] retry() (in module etna.auto.utils), [1] ReversibleChangePointsTransform (class in etna.transforms.decomposition.change_points_based.base), [1] ReversiblePerSegmentWrapper (class in etna.transforms.base), [1] ReversibleTransform (class in etna.transforms.base), [1] RMSE (class in etna.metrics.metrics), [1] RNNBatch (class in etna.models.nn.rnn), [1] RNNModel (class in etna.models.nn.rnn), [1] RNNNet (class in etna.models.nn.rnn), [1] RobustScalerTransform (class in etna.transforms.math.scalers), [1] run_dill_encoded() (in module etna.auto.runner.utils), [1] RupturesChangePointsModel (class in etna.transforms.decomposition.change_points_based.change_points_models.ruptures_based), [1]

S

S3FileLogger (class in etna.loggers.file_logger), [1] sample() (LDS method), [1] sample_independent() (ConfigSampler method), [1] sample_relative() (ConfigSampler method), [1] SARIMAXModel (class in etna.models.sarimax), [1] save() (_SingleDifferencingTransform method) (AbstractModel method), [1] (AbstractPipeline method), [1] (AddConstTransform method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BaseFeatureSelectionTransform method), [1] (BasePipeline method), [1] (BATSModel method), [1] (BoxCoxTransform method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (DirectEnsemble method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HierarchicalPipeline method), [1] (HolidayTransform method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MLPModel method), [1] (MovingAverageModel method), [1] (MRMRFeatureSelectionTransform method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (OneHotEncoderTransform method), [1] (OutliersTransform method), [1] (PatchTSModel method), [1] (PerSegmentWrapper method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalOutliersTransform method), [1] (ProphetModel method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RNNModel method), [1] (RobustScalerTransform method), [1] (SARIMAXModel method), [1] (SaveEnsembleMixin method), [1] (SaveModelPipelineMixin method), [1] (SaveNNMixin method), [1] (SeasonalMovingAverageModel method), [1] (SegmentEncoderTransform method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StackingEnsemble method), [1] (StandardScalerTransform method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TBATSModel method), [1] (TFTModel method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (VotingEnsemble method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1] save_hyperparameters() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] SaveEnsembleMixin (class in etna.ensembles.mixins), [1] SaveModelPipelineMixin (class in etna.pipeline.mixins), [1] SaveNNMixin (class in etna.models.mixins), [1] seasonal_plot() (in module etna.analysis.decomposition.plots), [1] SeasonalityBasis (class in etna.models.nn.nbeats.blocks), [1] SeasonalityMode (class in etna.models.deadline_ma) SeasonalitySSM (class in etna.models.nn.deepstate.state_space_model), [1] SeasonalMovingAverageModel (class in etna.models.seasonal_ma), [1] SeasonalPlotAggregation (class in etna.analysis.decomposition.utils), [1] SeasonalPlotAlignment (class in etna.analysis.decomposition.utils), [1] SeasonalPlotCycle (class in etna.analysis.decomposition.utils), [1] SegmentEncoderTransform (class in etna.transforms.encoders.segment_encoder), [1] SegmentGaleShapley (class in etna.transforms.feature_selection.gale_shapley), [1] segments (TSDataset property), [1] select_observations() (in module etna.models.utils), [1] set_columns_wide() (in module etna.datasets.utils), [1] set_extra_state() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] set_params() (_DummyMetric method) (_LabelEncoder method) (_Logger method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_SingleDifferencingTransform method) (AbstractModel method), [1] (AddConstTransform method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BaseChangePointsModelAdapter method), [1] (BaseFeatureSelectionTransform method), [1] (BaseFileLogger method), [1] (BaseGaleShapley method), [1] (BaseLogger method), [1] (BasePipeline method), [1] (BaseReconciliator method), [1] (BATSModel method), [1] (BottomUpReconciliator method), [1] (BoxCoxTransform method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (Clustering method), [1] (CompositeSSM method), [1] (ConsoleLogger method), [1] (ConstantPerIntervalModel method), [1] (Coverage method), [1] (DateFlagsTransform method), [1] (DaylySeasonalitySSM method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (DirectEnsemble method), [1] (Distance method), [1] (DistanceMatrix method), [1] (DTWClustering method), [1] (DTWDistance method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (EuclideanClustering method), [1] (EuclideanDistance method), [1] (ExogShiftTransform method), [1] (FeatureGaleShapley method), [1] (FilterFeaturesTransform method), [1] (FoldMask method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (GaleShapleyMatcher method), [1] (HierarchicalClustering method), [1] (HierarchicalPipeline method), [1] (HierarchicalStructure method), [1] (HolidayTransform method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LDS method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (LinearTrendTransform method), [1] (LocalFileLogger method), [1] (LogTransform method), [1] (MADTransform method), [1] (MAE method), [1] (MAPE method), [1] (MaxAbsScalerTransform method), [1] (MaxDeviation method), [1] (MaxTransform method), [1] (MeanPerIntervalModel method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedAE method), [1] (MedianOutliersTransform method), [1] (MedianPerIntervalModel method), [1] (MedianTransform method), [1] (Metric method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MLPModel method), [1] (ModelRelevanceTable method), [1] (MovingAverageModel method), [1] (MRMRFeatureSelectionTransform method), [1] (MSE method), [1] (MSLE method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PatchTSModel method), [1] (PerIntervalModel method), [1] (PerSegmentWrapper method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalOutliersTransform method), [1] (ProphetModel method), [1] (PytorchForecastingDatasetBuilder method), [1] (QuantileTransform method), [1] (R2 method), [1] (RelevanceTable method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RMSE method), [1] (RNNModel method), [1] (RobustScalerTransform method), [1] (RupturesChangePointsModel method), [1] (S3FileLogger method), [1] (SARIMAXModel method), [1] (SeasonalitySSM method), [1] (SeasonalMovingAverageModel method), [1] (SegmentEncoderTransform method), [1] (SegmentGaleShapley method), [1] (Sign method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnPreprocessingPerIntervalModel method), [1] (SklearnRegressionPerIntervalModel method), [1] (SklearnTransform method), [1] (SMAPE method), [1] (SpecialDaysTransform method), [1] (SSM method), [1] (StackingEnsemble method), [1] (StandardScalerTransform method), [1] (StatisticsPerIntervalModel method), [1] (StatisticsRelevanceTable method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TBATSModel method), [1] (TFTModel method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (TopDownReconciliator method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (VotingEnsemble method), [1] (WandbLogger method), [1] (WAPE method), [1] (WeeklySeasonalitySSM method), [1] (Width method), [1] (WindowStatisticsTransform method), [1] (YearlySeasonalitySSM method), [1] (YeoJohnsonTransform method), [1]

setdefault() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] Settings (class in etna.settings), [1] setup() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] share_memory() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] shift() (in module etna.commands.resolvers), [1] Sign (class in etna.metrics.metrics), [1] sign() (in module etna.metrics.functional_metrics), [1] simple_dist() (in module etna.clustering.distances.dtw_distance), [1] SimpleExpSmoothingModel (class in etna.models.holt_winters), [1] SklearnMultiSegmentModel (class in etna.models.sklearn), [1] SklearnPerSegmentModel (class in etna.models.sklearn), [1] SklearnPreprocessingPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.sklearn_based), [1] SklearnRegressionPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.sklearn_based), [1] SklearnTransform (class in etna.transforms.math.sklearn), [1] SMAPE (class in etna.metrics.metrics), [1] smape() (in module etna.metrics.functional_metrics), [1] SpecialDaysTransform (class in etna.transforms.timestamp.special_days), [1] SSM (class in etna.models.nn.deepstate.state_space_model), [1] StackingEnsemble (class in etna.ensembles.stacking_ensemble), [1] StandardScalerTransform (class in etna.transforms.math.scalers), [1] start_experiment() (_Logger method) (BaseFileLogger method), [1] (BaseLogger method), [1] (ConsoleLogger method), [1] (LocalFileLogger method), [1] (S3FileLogger method), [1] (WandbLogger method), [1] state_dict() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] StatisticsPerIntervalModel (class in etna.transforms.decomposition.change_points_based.per_interval_models.statistics_based), [1] StatisticsRelevanceTable (class in etna.analysis.feature_relevance.relevance), [1] StatsForecastARIMAModel (class in etna.models.statsforecast), [1] StatsForecastAutoARIMAModel (class in etna.models.statsforecast), [1] StatsForecastAutoCESModel (class in etna.models.statsforecast), [1] StatsForecastAutoETSModel (class in etna.models.statsforecast), [1] StatsForecastAutoThetaModel (class in etna.models.statsforecast), [1] StdTransform (class in etna.transforms.math.statistics), [1] step (FloatDistribution attribute), [1] (IntDistribution attribute), [1] step() (DeepAbstractNet method), [1] (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] stl_plot() (in module etna.analysis.decomposition.plots), [1] STLTransform (class in etna.transforms.decomposition.stl), [1] study (Optuna property), [1] suggest_parameters() (in module etna.auto.utils), [1] summary() (Auto method), [1] (AutoAbstract method), [1] (AutoBase method), [1] (Tune method), [1] SumTransform (class in etna.transforms.math.statistics), [1]

T

tail() (TSDataset method), [1] target_components_names (TSDataset property), [1] target_quantiles_names (TSDataset property), [1] TBATSModel (class in etna.models.tbats), [1] tbptt_split_batch() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] teardown() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] test_dataloader() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] test_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] test_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] test_step_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] TFTModel (class in etna.models.nn.tft), [1] TheilSenTrendTransform (class in etna.transforms.decomposition.detrend), [1] TimeFlagsTransform (class in etna.transforms.timestamp.time_flags), [1] TimeSeriesImputerTransform (class in etna.transforms.missing_values.imputation), [1] to() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] to_dataset() (TSDataset static method), [1] to_dict() (_DummyMetric method) (_Logger method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_SingleDifferencingTransform method) (AbstractModel method), [1] (AddConstTransform method), [1] (AutoARIMAModel method), [1] (AutoRegressivePipeline method), [1] (BaseChangePointsModelAdapter method), [1] (BaseFeatureSelectionTransform method), [1] (BaseFileLogger method), [1] (BaseGaleShapley method), [1] (BaseLogger method), [1] (BasePipeline method), [1] (BaseReconciliator method), [1] (BATSModel method), [1] (BottomUpReconciliator method), [1] (BoxCoxTransform method), [1] (CatBoostMultiSegmentModel method), [1] (CatBoostPerSegmentModel method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (Clustering method), [1] (CompositeSSM method), [1] (ConsoleLogger method), [1] (ConstantPerIntervalModel method), [1] (Coverage method), [1] (DateFlagsTransform method), [1] (DaylySeasonalitySSM method), [1] (DeadlineMovingAverageModel method), [1] (DeepARModel method), [1] (DeepBaseModel method), [1] (DeepStateModel method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (DirectEnsemble method), [1] (Distance method), [1] (DistanceMatrix method), [1] (DTWClustering method), [1] (DTWDistance method), [1] (ElasticMultiSegmentModel method), [1] (ElasticPerSegmentModel method), [1] (EuclideanClustering method), [1] (EuclideanDistance method), [1] (ExogShiftTransform method), [1] (FeatureGaleShapley method), [1] (FilterFeaturesTransform method), [1] (FoldMask method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (GaleShapleyMatcher method), [1] (HierarchicalClustering method), [1] (HierarchicalPipeline method), [1] (HierarchicalStructure method), [1] (HolidayTransform method), [1] (HoltModel method), [1] (HoltWintersModel method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LDS method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (LinearMultiSegmentModel method), [1] (LinearPerSegmentModel method), [1] (LinearTrendTransform method), [1] (LocalFileLogger method), [1] (LogTransform method), [1] (MADTransform method), [1] (MAE method), [1] (MAPE method), [1] (MaxAbsScalerTransform method), [1] (MaxDeviation method), [1] (MaxTransform method), [1] (MeanPerIntervalModel method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedAE method), [1] (MedianOutliersTransform method), [1] (MedianPerIntervalModel method), [1] (MedianTransform method), [1] (Metric method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MLPModel method), [1] (ModelRelevanceTable method), [1] (MovingAverageModel method), [1] (MRMRFeatureSelectionTransform method), [1] (MSE method), [1] (MSLE method), [1] (NaiveModel method), [1] (NBeatsBaseModel method), [1] (NBeatsGenericModel method), [1] (NBeatsInterpretableModel method), [1] (NonPredictionIntervalContextIgnorantAbstractModel method), [1] (NonPredictionIntervalContextRequiredAbstractModel method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PatchTSModel method), [1] (PerIntervalModel method), [1] (PerSegmentWrapper method), [1] (Pipeline method), [1] (PredictionIntervalContextIgnorantAbstractModel method), [1] (PredictionIntervalContextRequiredAbstractModel method), [1] (PredictionIntervalOutliersTransform method), [1] (ProphetModel method), [1] (PytorchForecastingDatasetBuilder method), [1] (QuantileTransform method), [1] (R2 method), [1] (RelevanceTable method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RMSE method), [1] (RNNModel method), [1] (RobustScalerTransform method), [1] (RupturesChangePointsModel method), [1] (S3FileLogger method), [1] (SARIMAXModel method), [1] (SeasonalitySSM method), [1] (SeasonalMovingAverageModel method), [1] (SegmentEncoderTransform method), [1] (SegmentGaleShapley method), [1] (Sign method), [1] (SimpleExpSmoothingModel method), [1] (SklearnMultiSegmentModel method), [1] (SklearnPerSegmentModel method), [1] (SklearnPreprocessingPerIntervalModel method), [1] (SklearnRegressionPerIntervalModel method), [1] (SklearnTransform method), [1] (SMAPE method), [1] (SpecialDaysTransform method), [1] (SSM method), [1] (StackingEnsemble method), [1] (StandardScalerTransform method), [1] (StatisticsPerIntervalModel method), [1] (StatisticsRelevanceTable method), [1] (StatsForecastARIMAModel method), [1] (StatsForecastAutoARIMAModel method), [1] (StatsForecastAutoCESModel method), [1] (StatsForecastAutoETSModel method), [1] (StatsForecastAutoThetaModel method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TBATSModel method), [1] (TFTModel method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (TopDownReconciliator method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (VotingEnsemble method), [1] (WandbLogger method), [1] (WAPE method), [1] (WeeklySeasonalitySSM method), [1] (Width method), [1] (WindowStatisticsTransform method), [1] (YearlySeasonalitySSM method), [1] (YeoJohnsonTransform method), [1]

to_empty() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] to_flatten() (TSDataset static method), [1] to_hierarchical_dataset() (TSDataset static method), [1] to_onnx() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] to_pandas() (TSDataset method), [1] to_tensor() (in module etna.models.nn.nbeats.utils), [1] to_torch_dataset() (TSDataset method), [1] to_torchscript() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] to_uncompiled() (DeepBaseNet class method), [1] (DeepStateNet class method), [1] (MLPNet class method), [1] (NBeatsBaseNet class method), [1] (NBeatsGenericNet class method), [1] (NBeatsInterpretableNet class method), [1] (PatchTSNet class method), [1] (RNNNet class method), [1] toggle_optimizer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] top_k() (Auto method), [1] (AutoAbstract method), [1] (AutoBase method), [1] (Tune method), [1] TopDownReconciliator (class in etna.reconciliation.top_down), [1] train() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] train_dataloader() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] train_test_split() (TSDataset method), [1] training_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] training_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] training_step_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] transfer_batch_to_device() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] Transform (class in etna.transforms.base), [1] transform() (_LabelEncoder method) (_OneSegmentChangePointsLevelTransform method) (_OneSegmentChangePointsSegmentationTransform method) (_OneSegmentChangePointsTransform method) (_OneSegmentChangePointsTrendTransform method) (_OneSegmentDeseasonalityTransform method) (_OneSegmentLinearTrendBaseTransform method) (_OneSegmentResampleWithDistributionTransform method) (_OneSegmentSpecialDaysTransform method) (_OneSegmentSTLTransform method) (_OneSegmentTrendTransform method) (_SingleDifferencingTransform method) (AddConstTransform method), [1] (BaseFeatureSelectionTransform method), [1] (BoxCoxTransform method), [1] (ChangePointsLevelTransform method), [1] (ChangePointsSegmentationTransform method), [1] (ChangePointsTrendTransform method), [1] (DateFlagsTransform method), [1] (DensityOutliersTransform method), [1] (DeseasonalityTransform method), [1] (DifferencingTransform method), [1] (ExogShiftTransform method), [1] (FilterFeaturesTransform method), [1] (FourierTransform method), [1] (GaleShapleyFeatureSelectionTransform method), [1] (HolidayTransform method), [1] (IrreversibleChangePointsTransform method), [1] (IrreversiblePerSegmentWrapper method), [1] (IrreversibleTransform method), [1] (LabelEncoderTransform method), [1] (LagTransform method), [1] (LambdaTransform method), [1] (LinearTrendTransform method), [1] (LogTransform method), [1] (MADTransform method), [1] (MaxAbsScalerTransform method), [1] (MaxTransform method), [1] (MeanSegmentEncoderTransform method), [1] (MeanTransform method), [1] (MedianOutliersTransform method), [1] (MedianTransform method), [1] (MinMaxDifferenceTransform method), [1] (MinMaxScalerTransform method), [1] (MinTransform method), [1] (MRMRFeatureSelectionTransform method), [1] (OneHotEncoderTransform method), [1] (OneSegmentTransform method), [1] (OutliersTransform method), [1] (PerSegmentWrapper method), [1] (PredictionIntervalOutliersTransform method), [1] (QuantileTransform method), [1] (ResampleWithDistributionTransform method), [1] (ReversibleChangePointsTransform method), [1] (ReversiblePerSegmentWrapper method), [1] (ReversibleTransform method), [1] (RobustScalerTransform method), [1] (SegmentEncoderTransform method), [1] (SklearnTransform method), [1] (SpecialDaysTransform method), [1] (StandardScalerTransform method), [1] (StdTransform method), [1] (STLTransform method), [1] (SumTransform method), [1] (TheilSenTrendTransform method), [1] (TimeFlagsTransform method), [1] (TimeSeriesImputerTransform method), [1] (Transform method), [1] (TreeFeatureSelectionTransform method), [1] (TrendTransform method), [1] (TSDataset method), [1] (WindowStatisticsTransform method), [1] (YeoJohnsonTransform method), [1] TransformMode (class in etna.transforms.math.sklearn), [1] transition_coeff() (CompositeSSM method), [1] (DaylySeasonalitySSM method), [1] (LevelSSM method), [1] (LevelTrendSSM method), [1] (SeasonalitySSM method), [1] (SSM method), [1] (WeeklySeasonalitySSM method), [1] (YearlySeasonalitySSM method), [1] TreeFeatureSelectionTransform (class in etna.transforms.feature_selection.feature_importance), [1] TrendBasis (class in etna.models.nn.nbeats.blocks), [1] TrendTransform (class in etna.transforms.decomposition.change_points_based.trend), [1] truncated_bptt_steps (DeepBaseNet property), [1] (DeepStateNet property), [1] (MLPNet property), [1] (NBeatsBaseNet property), [1] (NBeatsGenericNet property), [1] (NBeatsInterpretableNet property), [1] (PatchTSNet property), [1] (RNNNet property), [1] TSDataset (class in etna.datasets.tsdataset), [1] tsdataset_idx_slice() (TSDataset method), [1] Tune (class in etna.auto.auto), [1] tune() (Optuna method), [1] type() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1] type_hint() (Settings method), [1]

U

unfreeze() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] untoggle_optimizer() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1]

update() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] update_columns_from_pandas() (TSDataset method), [1] update_horizon() (in module etna.commands.forecast_command), [1] update_tmp_match() (BaseGaleShapley method), [1] (FeatureGaleShapley method), [1] (SegmentGaleShapley method), [1] user_config() (ConfigFileFinder method), [1]

V

v_optimal_hist() (in module etna.analysis.outliers.hist_outliers), [1] val_dataloader() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] validate_on_dataset() (FoldMask method), [1] validation_epoch_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] validation_step() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1]

validation_step_end() (DeepBaseNet method), [1] (DeepStateNet method), [1] (MLPNet method), [1] (NBeatsBaseNet method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (PatchTSNet method), [1] (RNNNet method), [1] values() (DeepStateBatch method), [1] (FoldParallelGroup method), [1] (MLPBatch method), [1] (NBeatsBatch method), [1] (PatchTSBatch method), [1] (RNNBatch method), [1] violin (MetricPlotType attribute), [1] VotingEnsemble (class in etna.ensembles.voting_ensemble), [1]

W

WandbLogger (class in etna.loggers.wandb_logger), [1] WAPE (class in etna.metrics.metrics), [1] wape() (in module etna.metrics.functional_metrics), [1]

WeeklySeasonalitySSM (class in etna.models.nn.deepstate.state_space_model), [1] Width (class in etna.metrics.intervals_metrics), [1] WindowStatisticsTransform (class in etna.transforms.math.statistics), [1]

X

xpu() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]

Y

YearlySeasonalitySSM (class in etna.models.nn.deepstate.state_space_model), [1]

YeoJohnsonTransform (class in etna.transforms.math.power), [1]

Z

zero_grad() (DeepBaseNet method), [1] (DeepStateNet method), [1] (GenericBasis method), [1] (MLPNet method), [1] (NBeats method), [1] (NBeatsBaseNet method), [1] (NBeatsBlock method), [1] (NBeatsGenericNet method), [1] (NBeatsInterpretableNet method), [1] (NBeatsMAE method), [1] (NBeatsMAPE method), [1] (NBeatsMSE method), [1] (NBeatsSMAPE method), [1] (PatchTSNet method), [1] (PositionalEncoding method), [1] (RNNNet method), [1] (SeasonalityBasis method), [1] (TrendBasis method), [1]