Index

A

abs_error() (in module gluonts.evaluation.metrics) abs_target_mean() (in module gluonts.evaluation.metrics) abs_target_sum() (in module gluonts.evaluation.metrics) absolute_error() (in module gluonts.ev.stats) absolute_label() (in module gluonts.ev.stats) absolute_percentage_error() (in module gluonts.ev.stats) absolute_scaled_error() (in module gluonts.ev.stats) AbstractBaseSplitter (class in gluonts.dataset.split) Add (class in gluonts.dataset.artificial.recipe) add() (gluonts.dataset.stat.ScaleHistogram method) (gluonts.ev.metrics.BaseMetricDefinition method) AddAgeFeature (class in gluonts.transform) (class in gluonts.transform.feature) AddAggregateLags (class in gluonts.transform) (class in gluonts.transform.feature) AddConstFeature (class in gluonts.transform) (class in gluonts.transform.feature) AddObservedValuesIndicator (class in gluonts.transform) (class in gluonts.transform.feature) AddTimeFeatures (class in gluonts.transform) (class in gluonts.transform.feature) AdhocTransform (class in gluonts.transform) ADIDAPredictor (class in gluonts.ext.statsforecast) adjust_probs() (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution static method) (gluonts.torch.distributions.DiscreteDistribution static method) AffineTransformed (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.affine_transformed) aggregate (gluonts.ev.metrics.DirectMetric attribute) aggregate_all() (in module gluonts.evaluation) aggregate_no_nan() (in module gluonts.evaluation) aggregate_ts() (gluonts.dataset.hierarchical.HierarchicalTimeSeries static method) aggregate_valid() (in module gluonts.evaluation) Aggregation (class in gluonts.ev.aggregations) align() (gluonts.zebras.Freq method) allow_empty_interval (gluonts.transform.ContinuousTimePredictionSampler attribute) (gluonts.transform.sampler.ContinuousTimePredictionSampler attribute) (gluonts.transform.sampler.PredictionSplitSampler attribute) allow_nan (gluonts.model.evaluation.BatchForecast attribute) allow_population_by_field_name (gluonts.dataset.common.MetaData.Config attribute) alpha (gluonts.ev.metrics.MSIS attribute) and_() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) and_then() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) apply() (gluonts.transform.Transformation method) (gluonts.zebras.TimeFrame method) ar_p() (in module gluonts.dataset.artificial.ar_p) arbitrary_types_allowed (gluonts.core.component.BaseValidatedInitializerModel.Config attribute) (gluonts.dataset.common.ProcessStartField.Config attribute) (gluonts.transform.InstanceSampler.Config attribute) (gluonts.transform.sampler.InstanceSampler.Config attribute) arg_constraints (gluonts.torch.distributions.binned_uniforms.BinnedUniforms attribute) (gluonts.torch.distributions.BinnedUniforms attribute) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto attribute) (gluonts.torch.distributions.GeneralizedPareto attribute) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetwork attribute) (gluonts.torch.distributions.ImplicitQuantileNetwork attribute) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto attribute) (gluonts.torch.distributions.SplicedBinnedPareto attribute) (gluonts.torch.distributions.truncated_normal.TruncatedNormal attribute) (gluonts.torch.distributions.TruncatedNormal attribute)

args (gluonts.dataset.schema.translate.Method attribute) args_dim (gluonts.torch.distributions.BetaOutput attribute) (gluonts.torch.distributions.distribution_output.BetaOutput attribute) (gluonts.torch.distributions.distribution_output.DistributionOutput attribute) (gluonts.torch.distributions.distribution_output.GammaOutput attribute) (gluonts.torch.distributions.distribution_output.LaplaceOutput attribute) (gluonts.torch.distributions.distribution_output.NormalOutput attribute) (gluonts.torch.distributions.distribution_output.PoissonOutput attribute) (gluonts.torch.distributions.GammaOutput attribute) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput attribute) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput attribute) (gluonts.torch.distributions.LaplaceOutput attribute) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput attribute) (gluonts.torch.distributions.NegativeBinomialOutput attribute) (gluonts.torch.distributions.NormalOutput attribute) (gluonts.torch.distributions.Output attribute) (gluonts.torch.distributions.output.Output attribute) (gluonts.torch.distributions.PoissonOutput attribute) (gluonts.torch.distributions.studentT.StudentTOutput attribute) (gluonts.torch.distributions.StudentTOutput attribute) ARp (class in gluonts.dataset.artificial.recipe) Array (class in gluonts.zebras.schema) ArrowDecoder (class in gluonts.dataset.arrow.dec) ArrowEncoder (class in gluonts.dataset.arrow.enc) ArrowFile (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.file) ArrowStreamFile (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.file) ArrowWriter (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.enc) ArtificialDataset (class in gluonts.dataset.artificial) as_dict() (gluonts.zebras.BatchSplitFrame method) (gluonts.zebras.BatchTimeFrame method) (gluonts.zebras.SplitFrame method) (gluonts.zebras.TimeFrame method) as_stacked_batches() (in module gluonts.dataset.loader) AsNumpyArray (class in gluonts.transform) (class in gluonts.transform.convert) assert_data_error() (in module gluonts.exceptions) assert_gluonts() (in module gluonts.exceptions) assert_recursively_close() (in module gluonts.testutil.equality) assert_recursively_equal() (in module gluonts.testutil.equality) assume_sorted (gluonts.dataset.pandas.PandasDataset attribute) astype() (gluonts.zebras.TimeFrame method) AutoARIMAPredictor (class in gluonts.ext.statsforecast) AutoCESPredictor (class in gluonts.ext.statsforecast) AutoETSPredictor (class in gluonts.ext.statsforecast) AutoThetaPredictor (class in gluonts.ext.statsforecast) AverageMeanScaledQuantileLoss (class in gluonts.ev.metrics) axis (gluonts.ev.aggregations.Aggregation attribute) (gluonts.transform.InstanceSampler attribute) (gluonts.transform.sampler.BucketInstanceSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.InstanceSampler attribute) (gluonts.transform.sampler.NumInstanceSampler attribute) (gluonts.transform.sampler.UniformSplitSampler attribute)

B

background_color (gluonts.meta.style.Dark attribute) backtest_metrics() (in module gluonts.evaluation) (in module gluonts.evaluation.backtest) base_net() (gluonts.torch.model.wavenet.module.WaveNet method) (gluonts.torch.model.wavenet.WaveNet method) BaseMetricDefinition (class in gluonts.ev.metrics) BaseValidatedInitializerModel (class in gluonts.core.component) BaseValidatedInitializerModel.Config (class in gluonts.core.component) BasicFeatureInfo (class in gluonts.dataset.common) Batch (class in gluonts.dataset.loader) batch_offsets (gluonts.dataset.arrow.ArrowFile property) (gluonts.dataset.arrow.file.ArrowFile property) batch_shape (gluonts.torch.distributions.ISQF property) (gluonts.torch.distributions.isqf.ISQF property) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear property) (gluonts.torch.distributions.PiecewiseLinear property) batch_size (gluonts.dataset.loader.Batch attribute) (gluonts.zebras.BatchSplitFrame property) (gluonts.zebras.BatchTimeFrame property) (gluonts.zebras.BatchTimeSeries property) batcher() (in module gluonts.itertools)

BatchForecast (class in gluonts.model.evaluation) batchify() (in module gluonts.testutil.batchify) (in module gluonts.torch.batchify) BatchSplitFrame (class in gluonts.zebras) BatchTimeFrame (class in gluonts.zebras) BatchTimeSeries (class in gluonts.zebras) bdump() (in module gluonts.json) bdumps() (in module gluonts.json) BetaOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) BinaryHolidays (class in gluonts.dataset.artificial.recipe) BinaryMarkovChain (class in gluonts.dataset.artificial.recipe) BinnedUniforms (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.binned_uniforms) BinnedUniformsOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.binned_uniforms) bins_prob (gluonts.torch.distributions.binned_uniforms.BinnedUniforms property) (gluonts.torch.distributions.BinnedUniforms property) box() (in module gluonts.maybe) bucket_index() (gluonts.dataset.stat.ScaleHistogram method) BucketInstanceSampler (class in gluonts.transform) (class in gluonts.transform.sampler)

C

Cached (class in gluonts.itertools) cached (gluonts.itertools.PickleCached attribute) calculate_aggregate_multivariate_metrics() (gluonts.evaluation.MultivariateEvaluator method) calculate_aggregate_vector_metrics() (gluonts.evaluation.MultivariateEvaluator method) calculate_dataset_statistics() (in module gluonts.dataset.stat) calculate_OWA() (gluonts.ev.metrics.OWA static method) calculate_seasonal_error() (in module gluonts.evaluation.metrics) CanonicalInstanceSplitter (class in gluonts.transform) (class in gluonts.transform.split) cardinality (gluonts.dataset.common.CategoricalFeatureInfo attribute) CategoricalFeatureInfo (class in gluonts.dataset.common) CausalDilatedResidualLayer (class in gluonts.torch.model.wavenet.module) CausalMeanValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) cdf() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto method) (gluonts.torch.distributions.GeneralizedPareto method) (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.negative_binomial.NegativeBinomial method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto method) (gluonts.torch.distributions.SplicedBinnedPareto method) (gluonts.torch.distributions.studentT.StudentT method) (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) cdf_spline() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) cdf_tail() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) cdf_to_gaussian_forward_transform() (in module gluonts.transform) (in module gluonts.transform.convert) cdf_truncated_standard_normal() (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) CDFtoGaussianTransform (class in gluonts.transform) (class in gluonts.transform.convert) Chain (class in gluonts.itertools) (class in gluonts.transform) chain() (gluonts.transform.Transformation method) channel_names() (gluonts.shell.sagemaker.train.InpuDataConfig method) channels() (gluonts.shell.sagemaker.train.InpuDataConfig method) check_type() (in module gluonts.dataset.schema.translate) Choose (class in gluonts.dataset.artificial.recipe) chop() (in module gluonts.itertools) chunks() (in module gluonts.testutil) cleanup() (gluonts.shell.sagemaker.dyn.Installer method) clone() (in module gluonts.core.serde.flat) collections (gluonts.itertools.Fuse attribute) columns (gluonts.dataset.arrow.enc.ArrowEncoder attribute) (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.TimeFrame attribute) columns_to_rows() (in module gluonts.itertools) ComplexSeasonalTimeSeries (class in gluonts.dataset.artificial) compression (gluonts.dataset.arrow.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ArrowWriter attribute) compresslevel (gluonts.dataset.jsonl.JsonLinesWriter attribute) compute_data_from_recipe() (gluonts.dataset.artificial.ConstantDataset method) Concatenate (class in gluonts.dataset.artificial.recipe) ConcatFeatures (class in gluonts.transform) (class in gluonts.transform.convert) configure_optimizers() (gluonts.torch.model.d_linear.DLinearLightningModule method) (gluonts.torch.model.d_linear.lightning_module.DLinearLightningModule method) (gluonts.torch.model.deepar.DeepARLightningModule method) (gluonts.torch.model.deepar.lightning_module.DeepARLightningModule method) (gluonts.torch.model.i_transformer.ITransformerLightningModule method) (gluonts.torch.model.i_transformer.lightning_module.ITransformerLightningModule method) (gluonts.torch.model.lag_tst.LagTSTLightningModule method) (gluonts.torch.model.lag_tst.lightning_module.LagTSTLightningModule method) (gluonts.torch.model.patch_tst.lightning_module.PatchTSTLightningModule method) (gluonts.torch.model.patch_tst.PatchTSTLightningModule method) (gluonts.torch.model.simple_feedforward.lightning_module.SimpleFeedForwardLightningModule method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardLightningModule method) (gluonts.torch.model.tft.lightning_module.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tft.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tide.lightning_module.TiDELightningModule method) (gluonts.torch.model.tide.TiDELightningModule method) (gluonts.torch.model.wavenet.lightning_module.WaveNetLightningModule method) (gluonts.torch.model.wavenet.WaveNetLightningModule method) Constant (class in gluonts.dataset.artificial.recipe) (class in gluonts.time_feature) constant_dataset() (in module gluonts.dataset.artificial) ConstantDataset (class in gluonts.dataset.artificial) ConstantPredictor (class in gluonts.model.trivial.constant) ConstantValuePredictor (class in gluonts.model.trivial.constant) ConstantVec (class in gluonts.dataset.artificial.recipe) consumed (gluonts.itertools.Cached attribute) contains() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) ContentType (gluonts.shell.sagemaker.train.DataConfig attribute) ContinuousTimeInstanceSplitter (class in gluonts.transform) (class in gluonts.transform.split) ContinuousTimePointSampler (class in gluonts.transform) (class in gluonts.transform.sampler) ContinuousTimePredictionSampler (class in gluonts.transform) (class in gluonts.transform.sampler) ContinuousTimeUniformSampler (class in gluonts.transform) (class in gluonts.transform.sampler) Convolve (class in gluonts.dataset.artificial.recipe) copy_aggregate() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) (gluonts.model.forecast.QuantileForecast method) (gluonts.model.forecast.SampleForecast method) (gluonts.model.QuantileForecast method) (gluonts.model.SampleForecast method) copy_code_to_model() (gluonts.shell.sagemaker.train.TrainEnv method) (gluonts.shell.sagemaker.TrainEnv method) copy_dim() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) (gluonts.model.forecast.QuantileForecast method) (gluonts.model.forecast.SampleForecast method) (gluonts.model.QuantileForecast method) (gluonts.model.SampleForecast method) copy_install() (gluonts.shell.sagemaker.dyn.Installer method) copy_parameters() (in module gluonts.torch.util) copy_with() (in module gluonts.util) count() (gluonts.dataset.stat.ScaleHistogram method) CountTrailingZeros (class in gluonts.transform.feature) Coverage (class in gluonts.ev.metrics) coverage() (in module gluonts.ev.stats) (in module gluonts.evaluation.metrics) create_lightning_module() (gluonts.torch.DeepAREstimator method) (gluonts.torch.DLinearEstimator method) (gluonts.torch.LagTSTEstimator method) (gluonts.torch.model.d_linear.DLinearEstimator method) (gluonts.torch.model.d_linear.estimator.DLinearEstimator method) (gluonts.torch.model.deepar.DeepAREstimator method) (gluonts.torch.model.deepar.estimator.DeepAREstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.model.i_transformer.estimator.ITransformerEstimator method) (gluonts.torch.model.i_transformer.ITransformerEstimator method) (gluonts.torch.model.lag_tst.estimator.LagTSTEstimator method) (gluonts.torch.model.lag_tst.LagTSTEstimator method) (gluonts.torch.model.patch_tst.estimator.PatchTSTEstimator method) (gluonts.torch.model.patch_tst.PatchTSTEstimator method) (gluonts.torch.model.simple_feedforward.estimator.SimpleFeedForwardEstimator method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardEstimator method) (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tide.estimator.TiDEEstimator method) (gluonts.torch.model.tide.TiDEEstimator method) (gluonts.torch.model.wavenet.estimator.WaveNetEstimator method) (gluonts.torch.model.wavenet.WaveNetEstimator method) (gluonts.torch.PatchTSTEstimator method) (gluonts.torch.PyTorchLightningEstimator method) (gluonts.torch.SimpleFeedForwardEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) (gluonts.torch.TiDEEstimator method) (gluonts.torch.WaveNetEstimator method)

create_predictor() (gluonts.torch.DeepAREstimator method) (gluonts.torch.DLinearEstimator method) (gluonts.torch.LagTSTEstimator method) (gluonts.torch.model.d_linear.DLinearEstimator method) (gluonts.torch.model.d_linear.estimator.DLinearEstimator method) (gluonts.torch.model.deepar.DeepAREstimator method) (gluonts.torch.model.deepar.estimator.DeepAREstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.model.i_transformer.estimator.ITransformerEstimator method) (gluonts.torch.model.i_transformer.ITransformerEstimator method) (gluonts.torch.model.lag_tst.estimator.LagTSTEstimator method) (gluonts.torch.model.lag_tst.LagTSTEstimator method) (gluonts.torch.model.patch_tst.estimator.PatchTSTEstimator method) (gluonts.torch.model.patch_tst.PatchTSTEstimator method) (gluonts.torch.model.simple_feedforward.estimator.SimpleFeedForwardEstimator method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardEstimator method) (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tide.estimator.TiDEEstimator method) (gluonts.torch.model.tide.TiDEEstimator method) (gluonts.torch.model.wavenet.estimator.WaveNetEstimator method) (gluonts.torch.model.wavenet.WaveNetEstimator method) (gluonts.torch.PatchTSTEstimator method) (gluonts.torch.PyTorchLightningEstimator method) (gluonts.torch.SimpleFeedForwardEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) (gluonts.torch.TiDEEstimator method) (gluonts.torch.WaveNetEstimator method) create_training_data_loader() (gluonts.torch.DeepAREstimator method) (gluonts.torch.DLinearEstimator method) (gluonts.torch.LagTSTEstimator method) (gluonts.torch.model.d_linear.DLinearEstimator method) (gluonts.torch.model.d_linear.estimator.DLinearEstimator method) (gluonts.torch.model.deepar.DeepAREstimator method) (gluonts.torch.model.deepar.estimator.DeepAREstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.model.i_transformer.estimator.ITransformerEstimator method) (gluonts.torch.model.i_transformer.ITransformerEstimator method) (gluonts.torch.model.lag_tst.estimator.LagTSTEstimator method) (gluonts.torch.model.lag_tst.LagTSTEstimator method) (gluonts.torch.model.patch_tst.estimator.PatchTSTEstimator method) (gluonts.torch.model.patch_tst.PatchTSTEstimator method) (gluonts.torch.model.simple_feedforward.estimator.SimpleFeedForwardEstimator method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardEstimator method) (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tide.estimator.TiDEEstimator method) (gluonts.torch.model.tide.TiDEEstimator method) (gluonts.torch.model.wavenet.estimator.WaveNetEstimator method) (gluonts.torch.model.wavenet.WaveNetEstimator method) (gluonts.torch.PatchTSTEstimator method) (gluonts.torch.PyTorchLightningEstimator method) (gluonts.torch.SimpleFeedForwardEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) (gluonts.torch.TiDEEstimator method) (gluonts.torch.WaveNetEstimator method) create_transformation() (gluonts.torch.DeepAREstimator method) (gluonts.torch.DLinearEstimator method) (gluonts.torch.LagTSTEstimator method) (gluonts.torch.model.d_linear.DLinearEstimator method) (gluonts.torch.model.d_linear.estimator.DLinearEstimator method) (gluonts.torch.model.deepar.DeepAREstimator method) (gluonts.torch.model.deepar.estimator.DeepAREstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.model.i_transformer.estimator.ITransformerEstimator method) (gluonts.torch.model.i_transformer.ITransformerEstimator method) (gluonts.torch.model.lag_tst.estimator.LagTSTEstimator method) (gluonts.torch.model.lag_tst.LagTSTEstimator method) (gluonts.torch.model.patch_tst.estimator.PatchTSTEstimator method) (gluonts.torch.model.patch_tst.PatchTSTEstimator method) (gluonts.torch.model.simple_feedforward.estimator.SimpleFeedForwardEstimator method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardEstimator method) (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tide.estimator.TiDEEstimator method) (gluonts.torch.model.tide.TiDEEstimator method) (gluonts.torch.model.wavenet.estimator.WaveNetEstimator method) (gluonts.torch.model.wavenet.WaveNetEstimator method) (gluonts.torch.PatchTSTEstimator method) (gluonts.torch.PyTorchLightningEstimator method) (gluonts.torch.SimpleFeedForwardEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) (gluonts.torch.TiDEEstimator method) (gluonts.torch.WaveNetEstimator method) create_validation_data_loader() (gluonts.torch.DeepAREstimator method) (gluonts.torch.DLinearEstimator method) (gluonts.torch.LagTSTEstimator method) (gluonts.torch.model.d_linear.DLinearEstimator method) (gluonts.torch.model.d_linear.estimator.DLinearEstimator method) (gluonts.torch.model.deepar.DeepAREstimator method) (gluonts.torch.model.deepar.estimator.DeepAREstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.model.i_transformer.estimator.ITransformerEstimator method) (gluonts.torch.model.i_transformer.ITransformerEstimator method) (gluonts.torch.model.lag_tst.estimator.LagTSTEstimator method) (gluonts.torch.model.lag_tst.LagTSTEstimator method) (gluonts.torch.model.patch_tst.estimator.PatchTSTEstimator method) (gluonts.torch.model.patch_tst.PatchTSTEstimator method) (gluonts.torch.model.simple_feedforward.estimator.SimpleFeedForwardEstimator method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardEstimator method) (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tide.estimator.TiDEEstimator method) (gluonts.torch.model.tide.TiDEEstimator method) (gluonts.torch.model.wavenet.estimator.WaveNetEstimator method) (gluonts.torch.model.wavenet.WaveNetEstimator method) (gluonts.torch.PatchTSTEstimator method) (gluonts.torch.PyTorchLightningEstimator method) (gluonts.torch.SimpleFeedForwardEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) (gluonts.torch.TiDEEstimator method) (gluonts.torch.WaveNetEstimator method) CrostonClassicPredictor (class in gluonts.ext.statsforecast) CrostonOptimizedPredictor (class in gluonts.ext.statsforecast) CrostonSBAPredictor (class in gluonts.ext.statsforecast) crps() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.isqf.TransformedISQF method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.piecewise_linear.TransformedPiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) crps_spline() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) crps_tail() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) Cyclic (class in gluonts.itertools)

D

Dark (class in gluonts.meta.style) data (gluonts.model.inputs.InputSpec attribute) (gluonts.model.InputSpec attribute) (gluonts.zebras.Period attribute) (gluonts.zebras.Periods attribute) data_path (gluonts.env.Environment attribute) dataclass() (in module gluonts.core.serde) DataConfig (class in gluonts.shell.sagemaker.train) dataframes (gluonts.dataset.pandas.PandasDataset attribute) Dataset (class in gluonts.dataset) dataset (gluonts.dataset.split.TestData attribute) (gluonts.dataset.split.TestTemplate attribute) (gluonts.dataset.split.TrainingDataset attribute) dataset_info() (gluonts.dataset.artificial.RecipeDataset method) DatasetCollection (class in gluonts.dataset) datasets (gluonts.dataset.DatasetCollection attribute) DatasetStatistics (class in gluonts.dataset.stat) DatasetWriter (class in gluonts.dataset) date (gluonts.dataset.split.DateSplitter attribute) DateSplitter (class in gluonts.dataset.split) day_of_month() (in module gluonts.time_feature) day_of_month_index() (in module gluonts.time_feature) day_of_week() (in module gluonts.time_feature) day_of_week_index() (in module gluonts.time_feature) day_of_year() (in module gluonts.time_feature) day_of_year_index() (in module gluonts.time_feature) Debug (class in gluonts.dataset.artificial.recipe) decode() (gluonts.dataset.arrow.dec.ArrowDecoder method) (in module gluonts.core.serde) (in module gluonts.core.serde.flat) decode_batch() (gluonts.dataset.arrow.dec.ArrowDecoder method) decode_nested_parameters() (in module gluonts.shell.sagemaker.nested_params) decode_sagemaker_parameter() (in module gluonts.shell.sagemaker.params) decode_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) decoder (gluonts.dataset.arrow.ArrowFile attribute) (gluonts.dataset.arrow.file.ArrowFile attribute) DeepAREstimator (class in gluonts.torch) (class in gluonts.torch.model.deepar) (class in gluonts.torch.model.deepar.estimator) DeepARLightningModule (class in gluonts.torch.model.deepar) (class in gluonts.torch.model.deepar.lightning_module) DeepARModel (class in gluonts.torch.model.deepar) (class in gluonts.torch.model.deepar.module) DeepNPTSEstimator (class in gluonts.torch) (class in gluonts.torch.model.deep_npts) DeepNPTSMultiStepNetwork (class in gluonts.torch.model.deep_npts) DeepNPTSNetwork (class in gluonts.torch.model.deep_npts) DeepNPTSNetworkDiscrete (class in gluonts.torch.model.deep_npts) DeepNPTSNetworkSmooth (class in gluonts.torch.model.deep_npts) default (gluonts.zebras.schema.Field attribute) default_quantiles (gluonts.evaluation.Evaluator attribute) default_synthetic() (in module gluonts.dataset.artificial) default_tdim (gluonts.zebras.SplitFrame attribute) (gluonts.zebras.TimeFrame attribute) DenseDecoder (class in gluonts.torch.model.tide.module) DenseEncoder (class in gluonts.torch.model.tide.module) Dependency (class in gluonts.core.settings) derive_auto_fields() (gluonts.model.Estimator class method) (gluonts.model.estimator.Estimator class method) (gluonts.model.Predictor class method) (gluonts.model.predictor.Predictor class method) (gluonts.torch.DeepAREstimator class method) (gluonts.torch.model.deepar.DeepAREstimator class method) (gluonts.torch.model.deepar.estimator.DeepAREstimator class method) DerivedMetric (class in gluonts.ev.metrics) describe_inputs() (gluonts.torch.model.d_linear.DLinearModel method) (gluonts.torch.model.d_linear.module.DLinearModel method) (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) (gluonts.torch.model.i_transformer.ITransformerModel method) (gluonts.torch.model.i_transformer.module.ITransformerModel method) (gluonts.torch.model.lag_tst.LagTSTModel method) (gluonts.torch.model.lag_tst.module.LagTSTModel method) (gluonts.torch.model.patch_tst.module.PatchTSTModel method) (gluonts.torch.model.patch_tst.PatchTSTModel method) (gluonts.torch.model.simple_feedforward.module.SimpleFeedForwardModel method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardModel method) (gluonts.torch.model.tft.module.TemporalFusionTransformerModel method) (gluonts.torch.model.tft.TemporalFusionTransformerModel method) (gluonts.torch.model.tide.module.TiDEModel method) (gluonts.torch.model.tide.TiDEModel method) deserialize() (gluonts.ext.rotbaum.TreePredictor class method) (gluonts.model.Predictor class method) (gluonts.model.predictor.Predictor class method) (gluonts.model.predictor.RepresentablePredictor class method) (gluonts.torch.model.predictor.PyTorchPredictor class method) (gluonts.torch.PyTorchPredictor class method) determine_constant() (gluonts.dataset.artificial.ConstantDataset method) detrim_and_decode_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) detrim_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) Dilated (class in gluonts.dataset.artificial.recipe) dim() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) (gluonts.model.forecast.QuantileForecast method) (gluonts.model.forecast.SampleForecast method) (gluonts.model.QuantileForecast method) (gluonts.model.SampleForecast method) dims (gluonts.dataset.schema.translate.GetItem attribute) DirectMetric (class in gluonts.ev.metrics) DiscreteDistribution (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.discrete_distribution) distance (gluonts.dataset.split.TestData attribute) distance_to_holiday() (in module gluonts.time_feature.holiday) distr_cls (gluonts.torch.distributions.BetaOutput attribute) (gluonts.torch.distributions.binned_uniforms.BinnedUniformsOutput attribute) (gluonts.torch.distributions.BinnedUniformsOutput attribute) (gluonts.torch.distributions.distribution_output.BetaOutput attribute) (gluonts.torch.distributions.distribution_output.DistributionOutput attribute) (gluonts.torch.distributions.distribution_output.GammaOutput attribute) (gluonts.torch.distributions.distribution_output.LaplaceOutput attribute) (gluonts.torch.distributions.distribution_output.NormalOutput attribute) (gluonts.torch.distributions.distribution_output.PoissonOutput attribute) (gluonts.torch.distributions.DistributionOutput attribute) (gluonts.torch.distributions.GammaOutput attribute) (gluonts.torch.distributions.generalized_pareto.GeneralizedParetoOutput attribute) (gluonts.torch.distributions.GeneralizedParetoOutput attribute) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput attribute) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput attribute) (gluonts.torch.distributions.isqf.ISQFOutput attribute) (gluonts.torch.distributions.ISQFOutput attribute) (gluonts.torch.distributions.LaplaceOutput attribute) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput attribute) (gluonts.torch.distributions.NegativeBinomialOutput attribute) (gluonts.torch.distributions.NormalOutput attribute) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinearOutput attribute) (gluonts.torch.distributions.PiecewiseLinearOutput attribute) (gluonts.torch.distributions.PoissonOutput attribute) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedParetoOutput attribute) (gluonts.torch.distributions.SplicedBinnedParetoOutput attribute) (gluonts.torch.distributions.studentT.StudentTOutput attribute) (gluonts.torch.distributions.StudentTOutput attribute) (gluonts.torch.distributions.truncated_normal.TruncatedNormalOutput attribute) (gluonts.torch.distributions.TruncatedNormalOutput attribute)

distribution() (gluonts.torch.distributions.binned_uniforms.BinnedUniformsOutput method) (gluonts.torch.distributions.BinnedUniformsOutput method) (gluonts.torch.distributions.distribution_output.DistributionOutput method) (gluonts.torch.distributions.distribution_output.PoissonOutput method) (gluonts.torch.distributions.DistributionOutput method) (gluonts.torch.distributions.generalized_pareto.GeneralizedParetoOutput method) (gluonts.torch.distributions.GeneralizedParetoOutput method) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.isqf.ISQFOutput method) (gluonts.torch.distributions.ISQFOutput method) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput method) (gluonts.torch.distributions.NegativeBinomialOutput method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinearOutput method) (gluonts.torch.distributions.PiecewiseLinearOutput method) (gluonts.torch.distributions.PoissonOutput method) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedParetoOutput method) (gluonts.torch.distributions.SplicedBinnedParetoOutput method) (gluonts.torch.distributions.truncated_normal.TruncatedNormalOutput method) (gluonts.torch.distributions.TruncatedNormalOutput method) DistributionForecast (class in gluonts.torch.model.forecast) DistributionForecastGenerator (class in gluonts.model.forecast_generator) DistributionOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) DLinearEstimator (class in gluonts.torch) (class in gluonts.torch.model.d_linear) (class in gluonts.torch.model.d_linear.estimator) DLinearLightningModule (class in gluonts.torch.model.d_linear) (class in gluonts.torch.model.d_linear.lightning_module) DLinearModel (class in gluonts.torch.model.d_linear) (class in gluonts.torch.model.d_linear.module) do() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) domain_map() (gluonts.torch.distributions.BetaOutput class method) (gluonts.torch.distributions.binned_uniforms.BinnedUniformsOutput class method) (gluonts.torch.distributions.BinnedUniformsOutput class method) (gluonts.torch.distributions.distribution_output.BetaOutput class method) (gluonts.torch.distributions.distribution_output.DistributionOutput method) (gluonts.torch.distributions.distribution_output.GammaOutput class method) (gluonts.torch.distributions.distribution_output.LaplaceOutput class method) (gluonts.torch.distributions.distribution_output.NormalOutput class method) (gluonts.torch.distributions.distribution_output.PoissonOutput class method) (gluonts.torch.distributions.DistributionOutput method) (gluonts.torch.distributions.GammaOutput class method) (gluonts.torch.distributions.generalized_pareto.GeneralizedParetoOutput class method) (gluonts.torch.distributions.GeneralizedParetoOutput class method) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput class method) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput class method) (gluonts.torch.distributions.isqf.ISQFOutput class method) (gluonts.torch.distributions.ISQFOutput class method) (gluonts.torch.distributions.LaplaceOutput class method) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput class method) (gluonts.torch.distributions.NegativeBinomialOutput class method) (gluonts.torch.distributions.NormalOutput class method) (gluonts.torch.distributions.Output method) (gluonts.torch.distributions.output.Output method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinearOutput class method) (gluonts.torch.distributions.PiecewiseLinearOutput class method) (gluonts.torch.distributions.PoissonOutput class method) (gluonts.torch.distributions.quantile_output.QuantileOutput method) (gluonts.torch.distributions.QuantileOutput method) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedParetoOutput class method) (gluonts.torch.distributions.SplicedBinnedParetoOutput class method) (gluonts.torch.distributions.studentT.StudentTOutput class method) (gluonts.torch.distributions.StudentTOutput class method) (gluonts.torch.distributions.truncated_normal.TruncatedNormalOutput class method) (gluonts.torch.distributions.TruncatedNormalOutput class method) drop (gluonts.dataset.schema.translate.Translator attribute) (gluonts.dataset.schema.Translator attribute) dtype (gluonts.dataset.pandas.PandasDataset attribute) (gluonts.model.Input attribute) (gluonts.model.inputs.Input attribute) (gluonts.torch.distributions.Output property) (gluonts.torch.distributions.output.Output property) (gluonts.zebras.schema.Array attribute) (gluonts.zebras.schema.TimeSeries attribute) dtypes (gluonts.model.inputs.InputSpec property) (gluonts.model.InputSpec property) DummyValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) dump() (in module gluonts.dataset.jsonl) (in module gluonts.json) dump_json() (in module gluonts.core.serde) dumps() (in module gluonts.json) DynamicOptimizedThetaPredictor (class in gluonts.ext.statsforecast) DynamicThetaPredictor (class in gluonts.ext.statsforecast)

E

empirical_cdf() (in module gluonts.testutil) encode() (gluonts.dataset.arrow.enc.ArrowEncoder method) (in module gluonts.core.serde) (in module gluonts.core.serde.flat) encode_and_trim_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) encode_json() (in module gluonts.dataset.jsonl) encode_nested_parameters() (in module gluonts.shell.sagemaker.nested_params) encode_np_datetime64() (in module gluonts.core.serde.np) encode_np_dtype() (in module gluonts.core.serde.np) encode_np_inexact() (in module gluonts.core.serde.np) encode_np_integer() (in module gluonts.core.serde.np) encode_np_ndarray() (in module gluonts.core.serde.np) encode_pd_baseoffset() (in module gluonts.core.serde.pd) encode_pd_period() (in module gluonts.core.serde.pd) encode_pd_timestamp() (in module gluonts.core.serde.pd) encode_sagemaker_parameter() (in module gluonts.shell.sagemaker.params) encode_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) end (gluonts.zebras.Periods property) entropy (gluonts.torch.distributions.truncated_normal.TruncatedNormal property) (gluonts.torch.distributions.TruncatedNormal property) entropy() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) enumerate_support() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) Environment (class in gluonts.env) eps (gluonts.torch.distributions.truncated_normal.TruncatedNormal attribute) (gluonts.torch.distributions.TruncatedNormal attribute) eq_shape() (gluonts.zebras.TimeFrame method) eq_to() (gluonts.zebras.TimeFrame method) equals() (in module gluonts.core.component) equals_default_impl() (in module gluonts.core.component) equals_dict() (in module gluonts.core.component) equals_list() (in module gluonts.core.component) equals_ndarray() (in module gluonts.core.component) equals_tensor() (in module gluonts.torch.component) erf() (in module gluonts.transform.convert) erfinv() (in module gluonts.transform.convert) error() (in module gluonts.ev.stats) Estimator (class in gluonts.model) (class in gluonts.model.estimator) Eval (class in gluonts.dataset.artificial.recipe) EvalRecipe (class in gluonts.dataset.artificial.recipe) evaluate() (in module gluonts.dataset.artificial.recipe) (in module gluonts.ev) evaluate_forecasts() (in module gluonts.model) (in module gluonts.model.evaluation) evaluate_forecasts_raw() (in module gluonts.model.evaluation) evaluate_model() (in module gluonts.model) (in module gluonts.model.evaluation) Evaluator (class in gluonts.evaluation) event_dim (gluonts.torch.distributions.distribution_output.DistributionOutput property) (gluonts.torch.distributions.DistributionOutput property) event_shape (gluonts.torch.distributions.BetaOutput property) (gluonts.torch.distributions.binned_uniforms.BinnedUniformsOutput property) (gluonts.torch.distributions.BinnedUniformsOutput property) (gluonts.torch.distributions.distribution_output.BetaOutput property) (gluonts.torch.distributions.distribution_output.GammaOutput property) (gluonts.torch.distributions.distribution_output.LaplaceOutput property) (gluonts.torch.distributions.distribution_output.NormalOutput property) (gluonts.torch.distributions.distribution_output.PoissonOutput property) (gluonts.torch.distributions.GammaOutput property) (gluonts.torch.distributions.generalized_pareto.GeneralizedParetoOutput property) (gluonts.torch.distributions.GeneralizedParetoOutput property) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput property) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput property) (gluonts.torch.distributions.isqf.ISQFOutput property) (gluonts.torch.distributions.ISQFOutput property) (gluonts.torch.distributions.LaplaceOutput property) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput property) (gluonts.torch.distributions.NegativeBinomialOutput property) (gluonts.torch.distributions.NormalOutput property) (gluonts.torch.distributions.Output property) (gluonts.torch.distributions.output.Output property) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinearOutput property) (gluonts.torch.distributions.PiecewiseLinearOutput property) (gluonts.torch.distributions.PoissonOutput property) (gluonts.torch.distributions.quantile_output.QuantileOutput property) (gluonts.torch.distributions.QuantileOutput property) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedParetoOutput property) (gluonts.torch.distributions.SplicedBinnedParetoOutput property) (gluonts.torch.distributions.studentT.StudentTOutput property) (gluonts.torch.distributions.StudentTOutput property) (gluonts.torch.distributions.truncated_normal.TruncatedNormalOutput property) (gluonts.torch.distributions.TruncatedNormalOutput property)

Eventual (class in gluonts.core.serde) expand() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) expand_shape() (in module gluonts.dataset.artificial.recipe) ExpandDimArray (class in gluonts.transform) (class in gluonts.transform.convert) expect() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) ExpectedNumInstanceSampler (class in gluonts.transform) (class in gluonts.transform.sampler) explain() (gluonts.ext.rotbaum.TreePredictor method) exponential (gluonts.model.npts.KernelType attribute) exponential_kernel() (in module gluonts.time_feature.holiday) ExponentialTailApproximation (class in gluonts.model.forecast) extend() (gluonts.zebras.Periods method) extract_aggregate_forecast() (gluonts.evaluation.MultivariateEvaluator static method) extract_aggregate_target() (gluonts.evaluation.MultivariateEvaluator static method) extract_forecast_by_dim() (gluonts.evaluation.MultivariateEvaluator static method) extract_past_data() (gluonts.evaluation.Evaluator static method) extract_pred_target() (gluonts.evaluation.Evaluator static method) extract_target_by_dim() (gluonts.evaluation.MultivariateEvaluator static method)

F

FEAT_AGE (gluonts.dataset.field_names.FieldName attribute) FEAT_CONST (gluonts.dataset.field_names.FieldName attribute) FEAT_DYNAMIC (gluonts.dataset.field_names.FieldName attribute) feat_dynamic_cat (gluonts.dataset.common.MetaData attribute) FEAT_DYNAMIC_CAT (gluonts.dataset.field_names.FieldName attribute) feat_dynamic_real (gluonts.dataset.common.MetaData attribute) FEAT_DYNAMIC_REAL (gluonts.dataset.field_names.FieldName attribute) feat_dynamic_real (gluonts.dataset.pandas.PandasDataset attribute) FEAT_DYNAMIC_REAL_LEGACY (gluonts.dataset.field_names.FieldName attribute) feat_static_cat (gluonts.dataset.common.MetaData attribute) FEAT_STATIC_CAT (gluonts.dataset.field_names.FieldName attribute) feat_static_cat (gluonts.dataset.stat.DatasetStatistics attribute) feat_static_real (gluonts.dataset.common.MetaData attribute) FEAT_STATIC_REAL (gluonts.dataset.field_names.FieldName attribute) feat_static_real (gluonts.dataset.stat.DatasetStatistics attribute) FEAT_TIME (gluonts.dataset.field_names.FieldName attribute) FeatureAssembler (class in gluonts.torch.modules.feature) FeatureEmbedder (class in gluonts.torch.model.tft.layers) (class in gluonts.torch.modules.feature) FeatureProjection (class in gluonts.torch.model.tide.module) FeatureProjector (class in gluonts.torch.model.tft.layers) Field (class in gluonts.zebras.schema) FieldName (class in gluonts.dataset.field_names) fields (gluonts.dataset.schema.translate.Translator attribute) (gluonts.dataset.schema.Translator attribute) (gluonts.zebras.schema.Schema attribute) fields() (gluonts.dataset.schema.translate.Get method) (gluonts.dataset.schema.translate.GetAttr method) (gluonts.dataset.schema.translate.GetItem method) (gluonts.dataset.schema.translate.Method method) (gluonts.dataset.schema.translate.Op method) (gluonts.dataset.schema.translate.Stack method) File (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.file) FileDataset() (in module gluonts.dataset.common) Filter (class in gluonts.itertools) filter() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) FilterTransformation (class in gluonts.transform) flatmap_transform() (gluonts.transform.CanonicalInstanceSplitter method) (gluonts.transform.ContinuousTimeInstanceSplitter method) (gluonts.transform.convert.SampleTargetDim method) (gluonts.transform.convert.ToIntervalSizeFormat method) (gluonts.transform.FilterTransformation method) (gluonts.transform.FlatMapTransformation method) (gluonts.transform.InstanceSplitter method) (gluonts.transform.SampleTargetDim method) (gluonts.transform.split.CanonicalInstanceSplitter method) (gluonts.transform.split.ContinuousTimeInstanceSplitter method) (gluonts.transform.split.InstanceSplitter method) (gluonts.transform.split.TFTInstanceSplitter method) FlatMapTransformation (class in gluonts.transform) flatten() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) flatten_arrays (gluonts.dataset.arrow.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ArrowEncoder attribute) (gluonts.dataset.arrow.enc.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ParquetWriter attribute) (gluonts.dataset.arrow.ParquetWriter attribute) fn (gluonts.core.serde.OrElse attribute) (gluonts.itertools.Filter attribute) (gluonts.itertools.Map attribute) (gluonts.itertools.StarMap attribute) ForEachCat (class in gluonts.dataset.artificial.recipe) Forecast (class in gluonts.model) (class in gluonts.model.forecast) forecast_generator (gluonts.torch.distributions.distribution_output.DistributionOutput property) (gluonts.torch.distributions.DistributionOutput property) (gluonts.torch.distributions.Output property) (gluonts.torch.distributions.output.Output property) (gluonts.torch.distributions.quantile_output.QuantileOutput property) (gluonts.torch.distributions.QuantileOutput property) forecast_keys (gluonts.ext.statsforecast.ModelConfig attribute) FORECAST_START (gluonts.dataset.field_names.FieldName attribute) forecast_start() (in module gluonts.dataset.util) forecast_type (gluonts.ev.metrics.MAE attribute) (gluonts.ev.metrics.MAPE attribute) (gluonts.ev.metrics.MASE attribute) (gluonts.ev.metrics.MSE attribute) (gluonts.ev.metrics.ND attribute) (gluonts.ev.metrics.NRMSE attribute) (gluonts.ev.metrics.OWA attribute) (gluonts.ev.metrics.RMSE attribute) (gluonts.ev.metrics.SMAPE attribute) (gluonts.ev.metrics.SumAbsoluteError attribute) (gluonts.ev.metrics.SumError attribute) forecaster_type_by_name() (in module gluonts.shell.util) ForecasterNotFound ForecastGenerator (class in gluonts.model.forecast_generator) forecasts (gluonts.model.evaluation.BatchForecast attribute) forward() (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileModule method) (gluonts.torch.distributions.implicit_quantile_network.QuantileLayer method) (gluonts.torch.distributions.output.PtArgProj method) (gluonts.torch.model.d_linear.DLinearLightningModule method) (gluonts.torch.model.d_linear.DLinearModel method) (gluonts.torch.model.d_linear.lightning_module.DLinearLightningModule method) (gluonts.torch.model.d_linear.module.DLinearModel method) (gluonts.torch.model.d_linear.module.MovingAvg method) (gluonts.torch.model.d_linear.module.SeriesDecomp method) (gluonts.torch.model.deep_npts.DeepNPTSMultiStepNetwork method) (gluonts.torch.model.deep_npts.DeepNPTSNetwork method) (gluonts.torch.model.deep_npts.DeepNPTSNetworkDiscrete method) (gluonts.torch.model.deep_npts.DeepNPTSNetworkSmooth method) (gluonts.torch.model.deepar.DeepARLightningModule method) (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.lightning_module.DeepARLightningModule method) (gluonts.torch.model.deepar.module.DeepARModel method) (gluonts.torch.model.i_transformer.ITransformerLightningModule method) (gluonts.torch.model.i_transformer.ITransformerModel method) (gluonts.torch.model.i_transformer.lightning_module.ITransformerLightningModule method) (gluonts.torch.model.i_transformer.module.ITransformerModel method) (gluonts.torch.model.lag_tst.LagTSTLightningModule method) (gluonts.torch.model.lag_tst.LagTSTModel method) (gluonts.torch.model.lag_tst.lightning_module.LagTSTLightningModule method) (gluonts.torch.model.lag_tst.module.LagTSTModel method) (gluonts.torch.model.patch_tst.lightning_module.PatchTSTLightningModule method) (gluonts.torch.model.patch_tst.module.PatchTSTModel method) (gluonts.torch.model.patch_tst.module.SinusoidalPositionalEmbedding method) (gluonts.torch.model.patch_tst.PatchTSTLightningModule method) (gluonts.torch.model.patch_tst.PatchTSTModel method) (gluonts.torch.model.patch_tst.SinusoidalPositionalEmbedding method) (gluonts.torch.model.simple_feedforward.lightning_module.SimpleFeedForwardLightningModule method) (gluonts.torch.model.simple_feedforward.module.SimpleFeedForwardModel method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardLightningModule method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardModel method) (gluonts.torch.model.tft.layers.FeatureEmbedder method) (gluonts.torch.model.tft.layers.FeatureProjector method) (gluonts.torch.model.tft.layers.GatedLinearUnit method) (gluonts.torch.model.tft.layers.GatedResidualNetwork method) (gluonts.torch.model.tft.layers.TemporalFusionDecoder method) (gluonts.torch.model.tft.layers.TemporalFusionEncoder method) (gluonts.torch.model.tft.layers.VariableSelectionNetwork method) (gluonts.torch.model.tft.lightning_module.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tft.module.TemporalFusionTransformerModel method) (gluonts.torch.model.tft.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tft.TemporalFusionTransformerModel method) (gluonts.torch.model.tide.lightning_module.TiDELightningModule method) (gluonts.torch.model.tide.module.DenseDecoder method) (gluonts.torch.model.tide.module.DenseEncoder method) (gluonts.torch.model.tide.module.FeatureProjection method) (gluonts.torch.model.tide.module.ResBlock method) (gluonts.torch.model.tide.module.TemporalDecoder method) (gluonts.torch.model.tide.module.TiDEModel method) (gluonts.torch.model.tide.TiDELightningModule method) (gluonts.torch.model.tide.TiDEModel method) (gluonts.torch.model.wavenet.lightning_module.WaveNetLightningModule method) (gluonts.torch.model.wavenet.module.CausalDilatedResidualLayer method) (gluonts.torch.model.wavenet.module.WaveNet method) (gluonts.torch.model.wavenet.WaveNet method) (gluonts.torch.model.wavenet.WaveNetLightningModule method) (gluonts.torch.modules.feature.FeatureAssembler method) (gluonts.torch.modules.feature.FeatureEmbedder method) (gluonts.torch.modules.lambda_layer.LambdaLayer method) (gluonts.torch.modules.lookup_table.LookupValues method)

fqname_for() (in module gluonts.core) Freq (class in gluonts.zebras) freq (gluonts.dataset.common.MetaData attribute) (gluonts.dataset.common.ProcessStartField attribute) (gluonts.dataset.hierarchical.HierarchicalTimeSeries property) (gluonts.dataset.pandas.PandasDataset attribute) (gluonts.model.Forecast property) (gluonts.model.forecast.Forecast property) (gluonts.zebras.Period attribute) (gluonts.zebras.Periods attribute) freq() (in module gluonts.zebras) from_float() (gluonts.model.forecast.Quantile class method) from_hyperparameters() (gluonts.model.Estimator class method) (gluonts.model.estimator.Estimator class method) (gluonts.model.Predictor class method) (gluonts.model.predictor.Predictor class method) (in module gluonts.core.component) from_inputs() (gluonts.model.Estimator class method) (gluonts.model.estimator.Estimator class method) (gluonts.model.Predictor class method) (gluonts.model.predictor.Predictor class method) from_long_dataframe() (gluonts.dataset.pandas.PandasDataset class method) from_pandas() (gluonts.zebras.Freq class method) (gluonts.zebras.Periods class method) (gluonts.zebras.TimeFrame class method) from_schema() (gluonts.dataset.arrow.dec.ArrowDecoder class method) from_str() (gluonts.dataset.schema.translate.TokenStream class method) (gluonts.model.forecast.Quantile class method) Fuse (class in gluonts.itertools) future (gluonts.zebras.BatchSplitFrame property) (gluonts.zebras.SplitFrame property) future() (gluonts.zebras.Periods method) future_length (gluonts.dataset.pandas.PandasDataset attribute) (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.SplitFrame attribute)

G

GammaOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) GatedLinearUnit (class in gluonts.torch.model.tft.layers) GatedResidualNetwork (class in gluonts.torch.model.tft.layers) GeneralizedPareto (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.generalized_pareto) GeneralizedParetoOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.generalized_pareto) generate() (gluonts.dataset.artificial.ArtificialDataset method) (gluonts.dataset.artificial.RecipeDataset method) (in module gluonts.dataset.artificial.recipe) generate_instances() (gluonts.dataset.split.TestTemplate method) generate_test_pairs() (gluonts.dataset.split.AbstractBaseSplitter method) generate_training_entries() (gluonts.dataset.split.AbstractBaseSplitter method) generate_ts() (gluonts.dataset.artificial.ConstantDataset method) Get (class in gluonts.dataset.schema.translate) get() (gluonts.ev.aggregations.Aggregation method) (gluonts.ev.aggregations.Mean method) (gluonts.ev.aggregations.Sum method) (gluonts.ev.metrics.DerivedMetric method) (gluonts.ev.metrics.DirectMetric method) (gluonts.ev.metrics.Metric method) (gluonts.ev.metrics.MetricCollection method) get_aggregate_metrics() (gluonts.evaluation.Evaluator method) get_args() (in module gluonts.core.serde.flat) get_args_proj() (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.Output method) (gluonts.torch.distributions.output.Output method) get_base_metrics() (gluonts.evaluation.Evaluator method) get_data_path() (gluonts.env.Environment method) get_dataset() (in module gluonts.dataset.repository) (in module gluonts.dataset.repository.datasets) (in module gluonts.testutil.dummy_datasets) get_download_path() (in module gluonts.dataset.repository) (in module gluonts.dataset.repository.datasets) get_eval_dims() (gluonts.evaluation.MultivariateEvaluator method) get_fields() (gluonts.dataset.schema.translate.Translator method) (gluonts.dataset.schema.Translator method) get_forward_input_names() (in module gluonts.torch.util) get_full_features() (gluonts.torch.model.wavenet.module.WaveNet method) (gluonts.torch.model.wavenet.WaveNet method) get_lags_for_frequency() (in module gluonts.time_feature) (in module gluonts.time_feature.lag) get_metrics_per_ts() (gluonts.evaluation.Evaluator method) get_num_steps() (gluonts.dataset.artificial.ConstantDataset method) get_one_hot_bin_indicator() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) get_predictor() (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) get_receptive_field() (gluonts.torch.model.wavenet.module.WaveNet static method) (gluonts.torch.model.wavenet.WaveNet static method) get_seasonality() (in module gluonts.time_feature) (in module gluonts.time_feature.seasonality) get_target_dimensionality() (gluonts.evaluation.MultivariateEvaluator static method) GetAttr (class in gluonts.dataset.schema.translate) GetItem (class in gluonts.dataset.schema.translate) gluonts module gluonts.core module gluonts.core.component module gluonts.core.serde module gluonts.core.serde.flat module gluonts.core.serde.np module gluonts.core.serde.pd module gluonts.core.settings module gluonts.dataset module gluonts.dataset.arrow module gluonts.dataset.arrow.dec module gluonts.dataset.arrow.enc module gluonts.dataset.arrow.file module gluonts.dataset.artificial module gluonts.dataset.artificial.ar_p module gluonts.dataset.artificial.recipe module gluonts.dataset.common module gluonts.dataset.field_names module gluonts.dataset.hierarchical module gluonts.dataset.jsonl module gluonts.dataset.loader module gluonts.dataset.multivariate_grouper module gluonts.dataset.pandas module gluonts.dataset.repository module gluonts.dataset.repository.datasets module gluonts.dataset.schema module gluonts.dataset.schema.translate module gluonts.dataset.split module gluonts.dataset.stat module gluonts.dataset.util module gluonts.env module gluonts.ev module gluonts.ev.aggregations module gluonts.ev.metrics module gluonts.ev.stats module gluonts.ev.ts_stats module gluonts.evaluation module gluonts.evaluation.backtest module gluonts.evaluation.metrics module gluonts.exceptions module gluonts.ext module gluonts.ext.naive_2 module gluonts.ext.prophet module gluonts.ext.r_forecast module gluonts.ext.r_forecast.util module gluonts.ext.rotbaum module gluonts.ext.statsforecast module gluonts.gluonts_tqdm module gluonts.itertools module gluonts.json module gluonts.maybe module gluonts.meta module gluonts.meta.cli module gluonts.meta.colors module gluonts.meta.style module gluonts.model module gluonts.model.estimator module gluonts.model.evaluation module gluonts.model.forecast module gluonts.model.forecast_generator module gluonts.model.inputs module gluonts.model.npts module gluonts.model.predictor module gluonts.model.seasonal_agg module gluonts.model.seasonal_naive module gluonts.model.trivial module gluonts.model.trivial.constant module gluonts.model.trivial.identity module gluonts.model.trivial.mean module gluonts.shell module gluonts.shell.env module

gluonts.shell.exceptions module gluonts.shell.sagemaker module gluonts.shell.sagemaker.dyn module gluonts.shell.sagemaker.nested_params module gluonts.shell.sagemaker.params module gluonts.shell.sagemaker.serve module gluonts.shell.sagemaker.train module gluonts.shell.train module gluonts.shell.util module gluonts.testutil module gluonts.testutil.batchify module gluonts.testutil.dummy_datasets module gluonts.testutil.equality module gluonts.time_feature module gluonts.time_feature.holiday module gluonts.time_feature.lag module gluonts.time_feature.seasonality module gluonts.torch module gluonts.torch.batchify module gluonts.torch.component module gluonts.torch.distributions module gluonts.torch.distributions.affine_transformed module gluonts.torch.distributions.binned_uniforms module gluonts.torch.distributions.discrete_distribution module gluonts.torch.distributions.distribution_output module gluonts.torch.distributions.generalized_pareto module gluonts.torch.distributions.implicit_quantile_network module gluonts.torch.distributions.isqf module gluonts.torch.distributions.negative_binomial module gluonts.torch.distributions.output module gluonts.torch.distributions.piecewise_linear module gluonts.torch.distributions.quantile_output module gluonts.torch.distributions.spliced_binned_pareto module gluonts.torch.distributions.studentT module gluonts.torch.distributions.truncated_normal module gluonts.torch.model module gluonts.torch.model.d_linear module gluonts.torch.model.d_linear.estimator module gluonts.torch.model.d_linear.lightning_module module gluonts.torch.model.d_linear.module module gluonts.torch.model.deep_npts module gluonts.torch.model.deep_npts.scaling module gluonts.torch.model.deepar module gluonts.torch.model.deepar.estimator module gluonts.torch.model.deepar.lightning_module module gluonts.torch.model.deepar.module module gluonts.torch.model.estimator module gluonts.torch.model.forecast module gluonts.torch.model.forecast_generator module gluonts.torch.model.i_transformer module gluonts.torch.model.i_transformer.estimator module gluonts.torch.model.i_transformer.lightning_module module gluonts.torch.model.i_transformer.module module gluonts.torch.model.lag_tst module gluonts.torch.model.lag_tst.estimator module gluonts.torch.model.lag_tst.lightning_module module gluonts.torch.model.lag_tst.module module gluonts.torch.model.lightning_util module gluonts.torch.model.mqf2 module gluonts.torch.model.patch_tst module gluonts.torch.model.patch_tst.estimator module gluonts.torch.model.patch_tst.lightning_module module gluonts.torch.model.patch_tst.module module gluonts.torch.model.predictor module gluonts.torch.model.simple_feedforward module gluonts.torch.model.simple_feedforward.estimator module gluonts.torch.model.simple_feedforward.lightning_module module gluonts.torch.model.simple_feedforward.module module gluonts.torch.model.tft module gluonts.torch.model.tft.estimator module gluonts.torch.model.tft.layers module gluonts.torch.model.tft.lightning_module module gluonts.torch.model.tft.module module gluonts.torch.model.tide module gluonts.torch.model.tide.estimator module gluonts.torch.model.tide.lightning_module module gluonts.torch.model.tide.module module gluonts.torch.model.wavenet module gluonts.torch.model.wavenet.estimator module gluonts.torch.model.wavenet.lightning_module module gluonts.torch.model.wavenet.module module gluonts.torch.modules module gluonts.torch.modules.feature module gluonts.torch.modules.lambda_layer module gluonts.torch.modules.lookup_table module gluonts.torch.prelude module gluonts.torch.scaler module gluonts.torch.util module gluonts.transform module gluonts.transform.convert module gluonts.transform.feature module gluonts.transform.field module gluonts.transform.sampler module gluonts.transform.split module gluonts.util module gluonts.zebras module gluonts.zebras.schema module GluonTSDataError GluonTSDateBoundsError GluonTSException GluonTSHyperparametersError GluonTSUserError guard() (gluonts.exceptions.GluonTSException class method)

H

handle_archive() (gluonts.shell.sagemaker.dyn.Installer method) has_rsample (gluonts.torch.distributions.binned_uniforms.BinnedUniforms attribute) (gluonts.torch.distributions.BinnedUniforms attribute) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto attribute) (gluonts.torch.distributions.GeneralizedPareto attribute) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto attribute) (gluonts.torch.distributions.SplicedBinnedPareto attribute) (gluonts.torch.distributions.truncated_normal.TruncatedNormal attribute) (gluonts.torch.distributions.TruncatedNormal attribute)

has_validation_loop() (in module gluonts.torch.model.lightning_util) head() (gluonts.zebras.Periods method) HierarchicalTimeSeries (class in gluonts.dataset.hierarchical) HistoricAveragePredictor (class in gluonts.ext.statsforecast) HoltPredictor (class in gluonts.ext.statsforecast) HoltWintersPredictor (class in gluonts.ext.statsforecast) hour_of_day() (in module gluonts.time_feature) hour_of_day_index() (in module gluonts.time_feature)

I

icdf() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto method) (gluonts.torch.distributions.GeneralizedPareto method) (gluonts.torch.distributions.negative_binomial.NegativeBinomial method) (gluonts.torch.distributions.studentT.StudentT method) (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) icdf_truncated_standard_normal() (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) Identity (class in gluonts.transform) IdentityPredictor (class in gluonts.model.trivial.identity) idx (gluonts.dataset.schema.translate.TokenStream attribute) IMAPAPredictor (class in gluonts.ext.statsforecast) ImplicitQuantileModule (class in gluonts.torch.distributions.implicit_quantile_network) ImplicitQuantileNetwork (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.implicit_quantile_network) ImplicitQuantileNetworkOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.implicit_quantile_network) in_features (gluonts.torch.distributions.distribution_output.BetaOutput attribute) (gluonts.torch.distributions.distribution_output.DistributionOutput attribute) (gluonts.torch.distributions.distribution_output.GammaOutput attribute) (gluonts.torch.distributions.distribution_output.LaplaceOutput attribute) (gluonts.torch.distributions.distribution_output.NormalOutput attribute) (gluonts.torch.distributions.distribution_output.PoissonOutput attribute) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput attribute) (gluonts.torch.distributions.negative_binomial.NegativeBinomialOutput attribute) (gluonts.torch.distributions.Output attribute) (gluonts.torch.distributions.output.Output attribute) (gluonts.torch.distributions.studentT.StudentTOutput attribute) IncrementallyTrainable (class in gluonts.model) (class in gluonts.model.estimator) index (gluonts.model.Forecast property) (gluonts.model.forecast.Forecast property) (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.BatchTimeSeries attribute) (gluonts.zebras.SplitFrame attribute) (gluonts.zebras.TimeFrame attribute) (gluonts.zebras.TimeSeries attribute) index_of() (gluonts.zebras.Periods method) indicator() (in module gluonts.time_feature.holiday) infer() (gluonts.dataset.arrow.enc.ArrowEncoder class method) (gluonts.dataset.arrow.File static method) (gluonts.dataset.arrow.file.File static method) infer_file_type() (in module gluonts.dataset.common) infer_freq() (in module gluonts.dataset.pandas) InferenceDataLoader() (in module gluonts.dataset.loader) INFO (gluonts.dataset.field_names.FieldName attribute) info (gluonts.model.Forecast attribute) (gluonts.model.forecast.Forecast attribute) init_exponential_tail_weights() (gluonts.model.forecast.ExponentialTailApproximation method) inject() (in module gluonts.core.settings) InpuDataConfig (class in gluonts.shell.sagemaker.train) Input (class in gluonts.model) (class in gluonts.model.inputs) input (gluonts.dataset.split.TestData property) input_names() (gluonts.torch.model.tft.estimator.TemporalFusionTransformerEstimator method) (gluonts.torch.model.tft.TemporalFusionTransformerEstimator method) (gluonts.torch.TemporalFusionTransformerEstimator method) input_transform() (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) input_types() (gluonts.torch.model.tft.module.TemporalFusionTransformerModel method) (gluonts.torch.model.tft.TemporalFusionTransformerModel method) InputDataset (class in gluonts.dataset.split) InputSpec (class in gluonts.model) (class in gluonts.model.inputs)

insert_missing_vals_middle() (gluonts.dataset.artificial.ConstantDataset method) insert_nans_and_zeros() (gluonts.dataset.artificial.ConstantDataset static method) install() (gluonts.shell.sagemaker.dyn.Installer method) install_and_restart() (in module gluonts.shell.sagemaker.dyn) install_dynamic() (gluonts.shell.sagemaker.serve.ServeEnv method) (gluonts.shell.sagemaker.ServeEnv method) (gluonts.shell.sagemaker.train.TrainEnv method) (gluonts.shell.sagemaker.TrainEnv method) install_requirement() (gluonts.shell.sagemaker.dyn.Installer method) Installer (class in gluonts.shell.sagemaker.dyn) instance_splitter() (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) InstanceSampler (class in gluonts.transform) (class in gluonts.transform.sampler) InstanceSampler.Config (class in gluonts.transform) (class in gluonts.transform.sampler) InstanceSplitter (class in gluonts.transform) (class in gluonts.transform.split) integer_dataset (gluonts.dataset.stat.DatasetStatistics attribute) interleave (gluonts.dataset.DatasetCollection attribute) internal (gluonts.zebras.schema.Field attribute) intersection() (gluonts.zebras.Periods method) interval_to_quantile_level() (in module gluonts.ext.r_forecast.util) intervals (gluonts.ext.statsforecast.ModelConfig attribute) into_arrow_batches() (in module gluonts.dataset.arrow.enc) inverse() (in module gluonts.itertools) invoke_with() (in module gluonts.shell.util) is_none() (gluonts.maybe.Maybe method) IS_PAD (gluonts.dataset.field_names.FieldName attribute) is_some() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) is_uniform() (in module gluonts.dataset.pandas) ISQF (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.isqf) ISQFOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.isqf) ITEM_ID (gluonts.dataset.field_names.FieldName attribute) item_id (gluonts.model.Forecast attribute) (gluonts.model.forecast.Forecast attribute) items() (gluonts.zebras.BatchSplitFrame method) (gluonts.zebras.BatchTimeFrame method) (gluonts.zebras.BatchTimeSeries method) iter() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) iter_batches() (gluonts.dataset.arrow.ArrowFile method) (gluonts.dataset.arrow.file.ArrowFile method) iter_interleaved() (gluonts.dataset.DatasetCollection method) iter_sequential() (gluonts.dataset.DatasetCollection method) iterable (gluonts.itertools.Cached attribute) (gluonts.itertools.Cyclic attribute) (gluonts.itertools.Filter attribute) (gluonts.itertools.Map attribute) (gluonts.itertools.PickleCached attribute) (gluonts.itertools.PseudoShuffled attribute) (gluonts.itertools.StarMap attribute) iterables (gluonts.itertools.Chain attribute) (gluonts.itertools.RandomYield attribute) IterableSlice (class in gluonts.itertools) ITransformerEstimator (class in gluonts.torch.model.i_transformer) (class in gluonts.torch.model.i_transformer.estimator) ITransformerLightningModule (class in gluonts.torch.model.i_transformer) (class in gluonts.torch.model.i_transformer.lightning_module) ITransformerModel (class in gluonts.torch.model.i_transformer) (class in gluonts.torch.model.i_transformer.module)

J

join() (in module gluonts.core.serde.flat) join_items() (in module gluonts.itertools)

JsonLinesFile (class in gluonts.dataset.jsonl) JsonLinesWriter (class in gluonts.dataset.jsonl)

K

KernelType (class in gluonts.model.npts)

L

label (gluonts.dataset.split.TestData property) LabelDataset (class in gluonts.dataset.split) Lag (class in gluonts.dataset.artificial.recipe) lagged_sequence_values() (in module gluonts.torch.util) LagTSTEstimator (class in gluonts.torch) (class in gluonts.torch.model.lag_tst) (class in gluonts.torch.model.lag_tst.estimator) LagTSTLightningModule (class in gluonts.torch.model.lag_tst) (class in gluonts.torch.model.lag_tst.lightning_module) LagTSTModel (class in gluonts.torch.model.lag_tst) (class in gluonts.torch.model.lag_tst.module) LambdaLayer (class in gluonts.torch.modules.lambda_layer) LaplaceOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) last() (gluonts.core.settings.LinkedList method) LastValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) lazy_property() (in module gluonts.util) lead_time (gluonts.model.Estimator attribute) (gluonts.model.estimator.Estimator attribute) LeavesMissingValues (class in gluonts.transform) (class in gluonts.transform.feature) left() (gluonts.model.forecast.ExponentialTailApproximation method) Length (class in gluonts.dataset.artificial.recipe) length (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.TimeFrame attribute) let() (in module gluonts.core.settings) lift() (in module gluonts.dataset.artificial.recipe) Lifted (class in gluonts.dataset.artificial.recipe) like() (gluonts.zebras.BatchTimeFrame method) (gluonts.zebras.BatchTimeSeries method) (gluonts.zebras.TimeFrame method) line_starts (gluonts.dataset.jsonl.JsonLinesFile attribute) LinearTrend (class in gluonts.dataset.artificial.recipe) LinkedList (class in gluonts.core.settings) ListDataset() (in module gluonts.dataset.common) ListElement (class in gluonts.core.settings) ListFeatures (class in gluonts.transform) (class in gluonts.transform.convert) load() (in module gluonts.dataset.jsonl) (in module gluonts.json) load_datasets() (in module gluonts.dataset.common) load_from() (gluonts.zebras.schema.Field method) load_json() (in module gluonts.core.serde) load_splitframe() (gluonts.zebras.schema.Schema method) load_timeframe() (gluonts.zebras.schema.Schema method) loads() (in module gluonts.json) Localizer (class in gluonts.model.predictor) location_for() (gluonts.dataset.arrow.ArrowFile method) (gluonts.dataset.arrow.file.ArrowFile method) (gluonts.dataset.arrow.file.ParquetFile method) (gluonts.dataset.arrow.ParquetFile method)

log_binned_p() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) log_bins_prob (gluonts.torch.distributions.binned_uniforms.BinnedUniforms property) (gluonts.torch.distributions.BinnedUniforms property) log_metric() (in module gluonts.shell.train) log_once() (in module gluonts.model.forecast_generator) log_prob() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution method) (gluonts.torch.distributions.DiscreteDistribution method) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto method) (gluonts.torch.distributions.GeneralizedPareto method) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto method) (gluonts.torch.distributions.SplicedBinnedPareto method) (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) log_prob_truncated_standard_normal() (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) log_version() (in module gluonts.shell.train) LookupValues (class in gluonts.torch.modules.lookup_table) loss() (gluonts.torch.distributions.distribution_output.DistributionOutput method) (gluonts.torch.distributions.DistributionOutput method) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.ImplicitQuantileNetworkOutput method) (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.Output method) (gluonts.torch.distributions.output.Output method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) (gluonts.torch.distributions.quantile_output.QuantileOutput method) (gluonts.torch.distributions.QuantileOutput method) (gluonts.torch.model.d_linear.DLinearModel method) (gluonts.torch.model.d_linear.module.DLinearModel method) (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) (gluonts.torch.model.i_transformer.ITransformerModel method) (gluonts.torch.model.i_transformer.module.ITransformerModel method) (gluonts.torch.model.lag_tst.LagTSTModel method) (gluonts.torch.model.lag_tst.module.LagTSTModel method) (gluonts.torch.model.patch_tst.module.PatchTSTModel method) (gluonts.torch.model.patch_tst.PatchTSTModel method) (gluonts.torch.model.simple_feedforward.module.SimpleFeedForwardModel method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardModel method) (gluonts.torch.model.tft.module.TemporalFusionTransformerModel method) (gluonts.torch.model.tft.TemporalFusionTransformerModel method) (gluonts.torch.model.tide.module.TiDEModel method) (gluonts.torch.model.tide.TiDEModel method) (gluonts.torch.model.wavenet.module.WaveNet method) (gluonts.torch.model.wavenet.WaveNet method)

M

MAE (class in gluonts.ev.metrics) MAECoverage (class in gluonts.ev.metrics) make_distribution_forecast() (in module gluonts.model.forecast_generator) make_dummy_datasets_with_features() (in module gluonts.testutil.dummy_datasets) make_evaluation_predictions() (in module gluonts.evaluation) (in module gluonts.evaluation.backtest) make_func() (in module gluonts.dataset.artificial.recipe) make_linear_layer() (in module gluonts.torch.model.simple_feedforward) (in module gluonts.torch.model.simple_feedforward.module) make_predictions() (in module gluonts.model.forecast_generator) make_timeseries() (gluonts.dataset.artificial.ComplexSeasonalTimeSeries method) Map (class in gluonts.itertools) map() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) map_or() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) map_or_else() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) map_transform() (gluonts.transform.AddAgeFeature method) (gluonts.transform.AddAggregateLags method) (gluonts.transform.AddConstFeature method) (gluonts.transform.AddTimeFeatures method) (gluonts.transform.CDFtoGaussianTransform method) (gluonts.transform.convert.CDFtoGaussianTransform method) (gluonts.transform.feature.AddAgeFeature method) (gluonts.transform.feature.AddAggregateLags method) (gluonts.transform.feature.AddConstFeature method) (gluonts.transform.feature.AddTimeFeatures method) (gluonts.transform.field.SelectFields method) (gluonts.transform.MapTransformation method) (gluonts.transform.SelectFields method) (gluonts.transform.SimpleTransformation method) MAPE (class in gluonts.ev.metrics) mape() (in module gluonts.evaluation.metrics) MapTransformation (class in gluonts.transform) MASE (class in gluonts.ev.metrics) mase() (in module gluonts.evaluation.metrics) match (gluonts.dataset.schema.translate.Token attribute) materialize_dataset() (in module gluonts.dataset.repository.datasets) max_history (gluonts.dataset.split.TestData attribute) max_idle_transforms (gluonts.env.Environment attribute) max_target (gluonts.dataset.stat.DatasetStatistics attribute) max_target_length (gluonts.dataset.stat.DatasetStatistics attribute) Maybe (class in gluonts.maybe) maybe_len() (in module gluonts.itertools) Mean (class in gluonts.ev.aggregations) mean (gluonts.model.Forecast property) (gluonts.model.forecast.Forecast property) (gluonts.model.forecast.QuantileForecast property) (gluonts.model.forecast.SampleForecast property) (gluonts.model.QuantileForecast property) (gluonts.model.SampleForecast property) (gluonts.torch.distributions.affine_transformed.AffineTransformed property) (gluonts.torch.distributions.AffineTransformed property) (gluonts.torch.distributions.binned_uniforms.BinnedUniforms property) (gluonts.torch.distributions.BinnedUniforms property) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto property) (gluonts.torch.distributions.GeneralizedPareto property) (gluonts.torch.distributions.truncated_normal.TruncatedNormal property) (gluonts.torch.distributions.TruncatedNormal property) (gluonts.torch.model.forecast.DistributionForecast property) mean() (gluonts.ev.metrics.AverageMeanScaledQuantileLoss static method) (gluonts.ev.metrics.MAECoverage static method) (gluonts.ev.metrics.MeanSumQuantileLoss static method) (gluonts.ev.metrics.MeanWeightedSumQuantileLoss static method) (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution method) (gluonts.torch.distributions.DiscreteDistribution method) mean_abs_scaling() (in module gluonts.torch.model.simple_feedforward.module) mean_abs_target (gluonts.dataset.stat.DatasetStatistics attribute) mean_target (gluonts.dataset.stat.DatasetStatistics attribute) mean_target_length (gluonts.dataset.stat.DatasetStatistics attribute) mean_ts (gluonts.model.forecast.SampleForecast property) (gluonts.model.SampleForecast property) (gluonts.torch.model.forecast.DistributionForecast property) MeanAbsoluteLabel (class in gluonts.ev.metrics) MeanEstimator (class in gluonts.model.trivial.mean) MeanPredictor (class in gluonts.model.trivial.mean) MeanScaledQuantileLoss (class in gluonts.ev.metrics) MeanScaler (class in gluonts.torch.scaler) MeanSumQuantileLoss (class in gluonts.ev.metrics) MeanValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) MeanWeightedSumQuantileLoss (class in gluonts.ev.metrics) median (gluonts.model.Forecast property) (gluonts.model.forecast.Forecast property) (gluonts.torch.distributions.binned_uniforms.BinnedUniforms property) (gluonts.torch.distributions.BinnedUniforms property) MetaData (class in gluonts.dataset.common) Metadata (class in gluonts.zebras.schema) metadata (gluonts.dataset.arrow.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ParquetWriter attribute) (gluonts.dataset.arrow.ParquetWriter attribute) (gluonts.dataset.artificial.ArtificialDataset property) (gluonts.dataset.artificial.ComplexSeasonalTimeSeries property) (gluonts.dataset.artificial.ConstantDataset property) (gluonts.dataset.artificial.RecipeDataset property) (gluonts.dataset.common.TrainDatasets attribute) (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.BatchTimeSeries attribute) (gluonts.zebras.SplitFrame attribute) (gluonts.zebras.TimeFrame attribute) (gluonts.zebras.TimeSeries attribute) metadata() (gluonts.dataset.arrow.ArrowFile method) (gluonts.dataset.arrow.ArrowStreamFile method) (gluonts.dataset.arrow.File method) (gluonts.dataset.arrow.file.ArrowFile method) (gluonts.dataset.arrow.file.ArrowStreamFile method) (gluonts.dataset.arrow.file.File method) (gluonts.dataset.arrow.file.ParquetFile method) (gluonts.dataset.arrow.ParquetFile method) MetaData.Config (class in gluonts.dataset.common) Method (class in gluonts.dataset.schema.translate) Metric (class in gluonts.ev.metrics) MetricCollection (class in gluonts.ev.metrics) MetricDefinition (class in gluonts.ev.metrics) MetricDefinitionCollection (class in gluonts.ev.metrics) metrics (gluonts.ev.metrics.DerivedMetric attribute) (gluonts.ev.metrics.MetricCollection attribute) (gluonts.ev.metrics.MetricDefinitionCollection attribute) min_future (gluonts.transform.ContinuousTimePointSampler attribute) (gluonts.transform.InstanceSampler attribute) (gluonts.transform.sampler.BucketInstanceSampler attribute) (gluonts.transform.sampler.ContinuousTimePointSampler attribute) (gluonts.transform.sampler.ContinuousTimePredictionSampler attribute) (gluonts.transform.sampler.ContinuousTimeUniformSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.InstanceSampler attribute) (gluonts.transform.sampler.NumInstanceSampler attribute) (gluonts.transform.sampler.UniformSplitSampler attribute) min_instances (gluonts.transform.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) min_max_scaling() (in module gluonts.torch.model.deep_npts.scaling) min_past (gluonts.transform.ContinuousTimePointSampler attribute) (gluonts.transform.InstanceSampler attribute) (gluonts.transform.sampler.BucketInstanceSampler attribute) (gluonts.transform.sampler.ContinuousTimePointSampler attribute) (gluonts.transform.sampler.ContinuousTimePredictionSampler attribute) (gluonts.transform.sampler.ContinuousTimeUniformSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.InstanceSampler attribute) (gluonts.transform.sampler.NumInstanceSampler attribute) (gluonts.transform.sampler.UniformSplitSampler attribute) min_target (gluonts.dataset.stat.DatasetStatistics attribute) minute_of_hour() (in module gluonts.time_feature) minute_of_hour_index() (in module gluonts.time_feature) MissingValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) mode (gluonts.torch.distributions.binned_uniforms.BinnedUniforms property) (gluonts.torch.distributions.BinnedUniforms property) ModelConfig (class in gluonts.ext.statsforecast) ModelType (gluonts.ext.statsforecast.ADIDAPredictor attribute) (gluonts.ext.statsforecast.AutoARIMAPredictor attribute) (gluonts.ext.statsforecast.AutoCESPredictor attribute) (gluonts.ext.statsforecast.AutoETSPredictor attribute) (gluonts.ext.statsforecast.AutoThetaPredictor attribute) (gluonts.ext.statsforecast.CrostonClassicPredictor attribute) (gluonts.ext.statsforecast.CrostonOptimizedPredictor attribute) (gluonts.ext.statsforecast.CrostonSBAPredictor attribute) (gluonts.ext.statsforecast.DynamicOptimizedThetaPredictor attribute) (gluonts.ext.statsforecast.DynamicThetaPredictor attribute) (gluonts.ext.statsforecast.HistoricAveragePredictor attribute) (gluonts.ext.statsforecast.HoltPredictor attribute) (gluonts.ext.statsforecast.HoltWintersPredictor attribute) (gluonts.ext.statsforecast.IMAPAPredictor attribute) (gluonts.ext.statsforecast.MSTLPredictor attribute) (gluonts.ext.statsforecast.NaivePredictor attribute) (gluonts.ext.statsforecast.OptimizedThetaPredictor attribute) (gluonts.ext.statsforecast.RandomWalkWithDriftPredictor attribute) (gluonts.ext.statsforecast.SeasonalExponentialSmoothingOptimizedPredictor attribute) (gluonts.ext.statsforecast.SeasonalExponentialSmoothingPredictor attribute) (gluonts.ext.statsforecast.SeasonalNaivePredictor attribute) (gluonts.ext.statsforecast.SeasonalWindowAveragePredictor attribute) (gluonts.ext.statsforecast.SimpleExponentialSmoothingOptimizedPredictor attribute) (gluonts.ext.statsforecast.SimpleExponentialSmoothingPredictor attribute) (gluonts.ext.statsforecast.StatsForecastPredictor attribute) (gluonts.ext.statsforecast.ThetaPredictor attribute) (gluonts.ext.statsforecast.TSBPredictor attribute) (gluonts.ext.statsforecast.WindowAveragePredictor attribute)

module gluonts gluonts.core gluonts.core.component gluonts.core.serde gluonts.core.serde.flat gluonts.core.serde.np gluonts.core.serde.pd gluonts.core.settings gluonts.dataset gluonts.dataset.arrow gluonts.dataset.arrow.dec gluonts.dataset.arrow.enc gluonts.dataset.arrow.file gluonts.dataset.artificial gluonts.dataset.artificial.ar_p gluonts.dataset.artificial.recipe gluonts.dataset.common gluonts.dataset.field_names gluonts.dataset.hierarchical gluonts.dataset.jsonl gluonts.dataset.loader gluonts.dataset.multivariate_grouper gluonts.dataset.pandas gluonts.dataset.repository gluonts.dataset.repository.datasets gluonts.dataset.schema gluonts.dataset.schema.translate gluonts.dataset.split gluonts.dataset.stat gluonts.dataset.util gluonts.env gluonts.ev gluonts.ev.aggregations gluonts.ev.metrics gluonts.ev.stats gluonts.ev.ts_stats gluonts.evaluation gluonts.evaluation.backtest gluonts.evaluation.metrics gluonts.exceptions gluonts.ext gluonts.ext.naive_2 gluonts.ext.prophet gluonts.ext.r_forecast gluonts.ext.r_forecast.util gluonts.ext.rotbaum gluonts.ext.statsforecast gluonts.gluonts_tqdm gluonts.itertools gluonts.json gluonts.maybe gluonts.meta gluonts.meta.cli gluonts.meta.colors gluonts.meta.style gluonts.model gluonts.model.estimator gluonts.model.evaluation gluonts.model.forecast gluonts.model.forecast_generator gluonts.model.inputs gluonts.model.npts gluonts.model.predictor gluonts.model.seasonal_agg gluonts.model.seasonal_naive gluonts.model.trivial gluonts.model.trivial.constant gluonts.model.trivial.identity gluonts.model.trivial.mean gluonts.shell gluonts.shell.env gluonts.shell.exceptions gluonts.shell.sagemaker gluonts.shell.sagemaker.dyn gluonts.shell.sagemaker.nested_params gluonts.shell.sagemaker.params gluonts.shell.sagemaker.serve gluonts.shell.sagemaker.train gluonts.shell.train gluonts.shell.util gluonts.testutil gluonts.testutil.batchify gluonts.testutil.dummy_datasets gluonts.testutil.equality gluonts.time_feature gluonts.time_feature.holiday gluonts.time_feature.lag gluonts.time_feature.seasonality gluonts.torch gluonts.torch.batchify gluonts.torch.component gluonts.torch.distributions gluonts.torch.distributions.affine_transformed gluonts.torch.distributions.binned_uniforms gluonts.torch.distributions.discrete_distribution gluonts.torch.distributions.distribution_output gluonts.torch.distributions.generalized_pareto gluonts.torch.distributions.implicit_quantile_network gluonts.torch.distributions.isqf gluonts.torch.distributions.negative_binomial gluonts.torch.distributions.output gluonts.torch.distributions.piecewise_linear gluonts.torch.distributions.quantile_output gluonts.torch.distributions.spliced_binned_pareto gluonts.torch.distributions.studentT gluonts.torch.distributions.truncated_normal gluonts.torch.model gluonts.torch.model.d_linear gluonts.torch.model.d_linear.estimator gluonts.torch.model.d_linear.lightning_module gluonts.torch.model.d_linear.module gluonts.torch.model.deep_npts gluonts.torch.model.deep_npts.scaling gluonts.torch.model.deepar gluonts.torch.model.deepar.estimator gluonts.torch.model.deepar.lightning_module gluonts.torch.model.deepar.module gluonts.torch.model.estimator gluonts.torch.model.forecast gluonts.torch.model.forecast_generator gluonts.torch.model.i_transformer gluonts.torch.model.i_transformer.estimator gluonts.torch.model.i_transformer.lightning_module gluonts.torch.model.i_transformer.module gluonts.torch.model.lag_tst gluonts.torch.model.lag_tst.estimator gluonts.torch.model.lag_tst.lightning_module gluonts.torch.model.lag_tst.module gluonts.torch.model.lightning_util gluonts.torch.model.mqf2 gluonts.torch.model.patch_tst gluonts.torch.model.patch_tst.estimator gluonts.torch.model.patch_tst.lightning_module gluonts.torch.model.patch_tst.module gluonts.torch.model.predictor gluonts.torch.model.simple_feedforward gluonts.torch.model.simple_feedforward.estimator gluonts.torch.model.simple_feedforward.lightning_module gluonts.torch.model.simple_feedforward.module gluonts.torch.model.tft gluonts.torch.model.tft.estimator gluonts.torch.model.tft.layers gluonts.torch.model.tft.lightning_module gluonts.torch.model.tft.module gluonts.torch.model.tide gluonts.torch.model.tide.estimator gluonts.torch.model.tide.lightning_module gluonts.torch.model.tide.module gluonts.torch.model.wavenet gluonts.torch.model.wavenet.estimator gluonts.torch.model.wavenet.lightning_module gluonts.torch.model.wavenet.module gluonts.torch.modules gluonts.torch.modules.feature gluonts.torch.modules.lambda_layer gluonts.torch.modules.lookup_table gluonts.torch.prelude gluonts.torch.scaler gluonts.torch.util gluonts.transform gluonts.transform.convert gluonts.transform.feature gluonts.transform.field gluonts.transform.sampler gluonts.transform.split gluonts.util gluonts.zebras gluonts.zebras.schema month_of_year() (in module gluonts.time_feature) month_of_year_index() (in module gluonts.time_feature) MovingAveragePredictor (class in gluonts.model.trivial.mean) MovingAvg (class in gluonts.torch.model.d_linear.module) MSE (class in gluonts.ev.metrics) mse() (in module gluonts.evaluation.metrics) MSIS (class in gluonts.ev.metrics) msis() (in module gluonts.evaluation.metrics) MSTLPredictor (class in gluonts.ext.statsforecast) Mul (class in gluonts.dataset.artificial.recipe) MultivariateEvaluator (class in gluonts.evaluation) MultivariateGrouper (class in gluonts.dataset.multivariate_grouper)

N

n (gluonts.dataset.jsonl.JsonLinesFile attribute) (gluonts.ev.aggregations.Mean attribute) (gluonts.transform.ExpectedNumInstanceSampler attribute) N (gluonts.transform.NumInstanceSampler attribute) n (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) N (gluonts.transform.sampler.NumInstanceSampler attribute) n (gluonts.zebras.Freq attribute) Naive2Predictor (class in gluonts.ext.naive_2) naive_2() (in module gluonts.ext.naive_2) NaivePredictor (class in gluonts.ext.statsforecast) name (gluonts.dataset.common.BasicFeatureInfo attribute) (gluonts.dataset.common.CategoricalFeatureInfo attribute) (gluonts.dataset.common.ProcessStartField attribute) (gluonts.dataset.schema.translate.Get attribute) (gluonts.dataset.schema.translate.GetAttr attribute) (gluonts.dataset.schema.translate.Token attribute) (gluonts.ev.metrics.Metric attribute) (gluonts.model.forecast.Quantile attribute) (gluonts.zebras.BatchTimeSeries attribute) (gluonts.zebras.Freq attribute) (gluonts.zebras.TimeSeries attribute) NanWhere (class in gluonts.dataset.artificial.recipe) ND (class in gluonts.ev.metrics) ndarray_columns (gluonts.dataset.arrow.enc.ArrowEncoder attribute) ndim (gluonts.zebras.schema.Array attribute) (gluonts.zebras.schema.TimeSeries attribute) NegativeBinomial (class in gluonts.torch.distributions.negative_binomial) NegativeBinomialOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.negative_binomial) nest() (in module gluonts.core.serde.flat) network (gluonts.torch.model.predictor.PyTorchPredictor property) (gluonts.torch.PyTorchPredictor property) NOPScaler (class in gluonts.torch.scaler)

norm_freq_str() (in module gluonts.time_feature) normalize_root_mean_squared_error() (gluonts.ev.metrics.NRMSE static method) normalized_ar1() (in module gluonts.dataset.artificial.recipe) normalized_deviation() (gluonts.ev.metrics.ND static method) NormalizeMax (class in gluonts.dataset.artificial.recipe) NormalOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) np_freq (gluonts.zebras.Freq property) NPTSPredictor (class in gluonts.model.npts) NRMSE (class in gluonts.ev.metrics) num_bottom_ts (gluonts.dataset.hierarchical.HierarchicalTimeSeries property) num_feat_dynamic_cat (gluonts.dataset.stat.DatasetStatistics attribute) num_feat_dynamic_real (gluonts.dataset.pandas.PandasDataset property) (gluonts.dataset.stat.DatasetStatistics attribute) num_feat_static_cat (gluonts.dataset.pandas.PandasDataset property) num_feat_static_real (gluonts.dataset.pandas.PandasDataset property) num_instances (gluonts.transform.ContinuousTimeUniformSampler attribute) (gluonts.transform.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.ContinuousTimeUniformSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) num_masked_target_values() (in module gluonts.ev.stats) num_masked_values() (in module gluonts.evaluation.metrics) num_missing_values (gluonts.dataset.stat.DatasetStatistics attribute) num_outputs (gluonts.dataset.artificial.recipe.Lifted attribute) num_past_feat_dynamic_real (gluonts.dataset.pandas.PandasDataset property) (gluonts.dataset.stat.DatasetStatistics attribute) num_samples (gluonts.model.forecast.SampleForecast property) (gluonts.model.SampleForecast property) num_time_observations (gluonts.dataset.stat.DatasetStatistics attribute) num_time_series (gluonts.dataset.stat.DatasetStatistics attribute) num_ts (gluonts.dataset.hierarchical.HierarchicalTimeSeries property) NumInstanceSampler (class in gluonts.transform) (class in gluonts.transform.sampler) NumpyFunc (class in gluonts.dataset.artificial.recipe)

O

obj (gluonts.dataset.schema.translate.GetAttr attribute) (gluonts.dataset.schema.translate.GetItem attribute) (gluonts.dataset.schema.translate.Method attribute) objects (gluonts.dataset.schema.translate.Stack attribute) OBSERVED_VALUES (gluonts.dataset.field_names.FieldName attribute) offset (gluonts.dataset.split.OffsetSplitter attribute) OffsetSplitter (class in gluonts.dataset.split) one_of() (in module gluonts.dataset.schema.translate) OneMinus (class in gluonts.dataset.artificial.recipe) OnesLike (class in gluonts.dataset.artificial.recipe) Op (class in gluonts.dataset.schema.translate) open() (gluonts.dataset.jsonl.JsonLinesFile method)

OptimizedThetaPredictor (class in gluonts.ext.statsforecast) or_() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) or_else() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) OrElse (class in gluonts.core.serde) Output (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.output) output_distribution() (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) OWA (class in gluonts.ev.metrics)

P

p (gluonts.transform.sampler.UniformSplitSampler attribute) (gluonts.transform.UniformSplitSampler attribute) pad() (gluonts.zebras.BatchTimeSeries method) (gluonts.zebras.TimeFrame method) (gluonts.zebras.TimeSeries method) pair_with_item_id() (in module gluonts.dataset.pandas) PandasDataset (class in gluonts.dataset.pandas) ParallelizedPredictor (class in gluonts.model.predictor) parameterize_qk() (gluonts.torch.distributions.ISQF static method) (gluonts.torch.distributions.isqf.ISQF static method) parameterize_spline() (gluonts.torch.distributions.ISQF static method) (gluonts.torch.distributions.isqf.ISQF static method) parameterize_tail() (gluonts.torch.distributions.ISQF static method) (gluonts.torch.distributions.isqf.ISQF static method) parameters (gluonts.core.serde.OrElse attribute) parametrize_knots() (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear static method) (gluonts.torch.distributions.PiecewiseLinear static method) parametrize_slopes() (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear static method) (gluonts.torch.distributions.PiecewiseLinear static method) ParquetFile (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.file) ParquetWriter (class in gluonts.dataset.arrow) (class in gluonts.dataset.arrow.enc) parse() (gluonts.dataset.schema.translate.Translator static method) (gluonts.dataset.schema.Translator static method) (gluonts.model.forecast.Quantile class method) (in module gluonts.dataset.schema.translate) parse_args() (gluonts.dataset.schema.translate.Parser method) parse_dot() (gluonts.dataset.schema.translate.Parser method) parse_expr() (gluonts.dataset.schema.translate.Parser method) parse_getitem() (gluonts.dataset.schema.translate.Parser method) parse_invoke() (gluonts.dataset.schema.translate.Parser method) parse_number() (gluonts.dataset.schema.translate.Parser method) Parser (class in gluonts.dataset.schema.translate) partial_result (gluonts.ev.aggregations.Mean attribute) (gluonts.ev.aggregations.Sum attribute) partition() (in module gluonts.itertools) past (gluonts.zebras.BatchSplitFrame property) (gluonts.zebras.SplitFrame property) past() (gluonts.zebras.Periods method) PAST_FEAT_DYNAMIC (gluonts.dataset.field_names.FieldName attribute) PAST_FEAT_DYNAMIC_CAT (gluonts.dataset.field_names.FieldName attribute) PAST_FEAT_DYNAMIC_REAL (gluonts.dataset.field_names.FieldName attribute) past_feat_dynamic_real (gluonts.dataset.pandas.PandasDataset attribute) past_length (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.SplitFrame attribute) past_only (gluonts.zebras.schema.TimeSeries attribute) PatchTSTEstimator (class in gluonts.torch) (class in gluonts.torch.model.patch_tst) (class in gluonts.torch.model.patch_tst.estimator) PatchTSTLightningModule (class in gluonts.torch.model.patch_tst) (class in gluonts.torch.model.patch_tst.lightning_module) PatchTSTModel (class in gluonts.torch.model.patch_tst) (class in gluonts.torch.model.patch_tst.module) path (gluonts.dataset.arrow.ArrowFile attribute) (gluonts.dataset.arrow.ArrowStreamFile attribute) (gluonts.dataset.arrow.file.ArrowFile attribute) (gluonts.dataset.arrow.file.ArrowStreamFile attribute) (gluonts.dataset.arrow.file.ParquetFile attribute) (gluonts.dataset.arrow.ParquetFile attribute) (gluonts.dataset.jsonl.JsonLinesFile attribute) pdf() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto method) (gluonts.torch.distributions.SplicedBinnedPareto method) peek() (gluonts.dataset.schema.translate.TokenStream method) (gluonts.evaluation.MultivariateEvaluator static method) Period (class in gluonts.zebras) period() (in module gluonts.zebras) period_index() (in module gluonts.dataset.util) Periods (class in gluonts.zebras) periods() (gluonts.zebras.Period method) (in module gluonts.zebras) periods_between() (in module gluonts.dataset.split) PickleCached (class in gluonts.itertools)

piecewise_constant() (gluonts.dataset.artificial.ConstantDataset method) PiecewiseLinear (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.piecewise_linear) PiecewiseLinearOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.piecewise_linear) pip_install() (gluonts.shell.sagemaker.dyn.Installer method) plot() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) (gluonts.zebras.TimeSeries method) pluck_attr() (in module gluonts.itertools) PoissonOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.distribution_output) pop() (gluonts.dataset.schema.translate.TokenStream method) pop_if() (gluonts.dataset.schema.translate.TokenStream method) post_process (gluonts.ev.metrics.DerivedMetric attribute) post_process_samples() (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) power_set() (in module gluonts.itertools) predict() (gluonts.ext.prophet.ProphetPredictor method) (gluonts.ext.r_forecast.RBasePredictor method) (gluonts.ext.rotbaum.TreePredictor method) (gluonts.model.npts.NPTSPredictor method) (gluonts.model.Predictor method) (gluonts.model.predictor.Localizer method) (gluonts.model.predictor.ParallelizedPredictor method) (gluonts.model.predictor.Predictor method) (gluonts.model.predictor.RepresentablePredictor method) (gluonts.torch.model.predictor.PyTorchPredictor method) (gluonts.torch.PyTorchPredictor method) predict_item() (gluonts.ext.naive_2.Naive2Predictor method) (gluonts.ext.statsforecast.StatsForecastPredictor method) (gluonts.model.predictor.RepresentablePredictor method) (gluonts.model.seasonal_agg.SeasonalAggregatePredictor method) (gluonts.model.seasonal_naive.SeasonalNaivePredictor method) (gluonts.model.trivial.constant.ConstantPredictor method) (gluonts.model.trivial.constant.ConstantValuePredictor method) (gluonts.model.trivial.identity.IdentityPredictor method) (gluonts.model.trivial.mean.MeanPredictor method) (gluonts.model.trivial.mean.MovingAveragePredictor method) predict_time_series() (gluonts.model.npts.NPTSPredictor method) prediction_length (gluonts.dataset.common.MetaData attribute) (gluonts.dataset.split.TestData attribute) (gluonts.model.Estimator attribute) (gluonts.model.estimator.Estimator attribute) (gluonts.model.Forecast attribute) (gluonts.model.forecast.Forecast attribute) (gluonts.model.forecast.SampleForecast property) (gluonts.model.SampleForecast property) PredictionSplitSampler (class in gluonts.transform.sampler) Predictor (class in gluonts.model) (class in gluonts.model.predictor) predictor (gluonts.torch.model.estimator.TrainOutput attribute) prepare_rnn_input() (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) prepend() (gluonts.zebras.Periods method) preprocess (gluonts.zebras.schema.Field attribute) probabilities (gluonts.itertools.RandomYield attribute) process_dynamic_cat() (gluonts.torch.modules.feature.FeatureAssembler method) process_dynamic_real() (gluonts.torch.modules.feature.FeatureAssembler method) process_static_cat() (gluonts.torch.modules.feature.FeatureAssembler method) process_static_real() (gluonts.torch.modules.feature.FeatureAssembler method) ProcessDataEntry (class in gluonts.dataset.common) ProcessStartField (class in gluonts.dataset.common) ProcessStartField.Config (class in gluonts.dataset.common) ProcessTimeSeriesField (class in gluonts.dataset.common) prod() (in module gluonts.itertools) ProphetPredictor (class in gluonts.ext.prophet) provider (gluonts.itertools.Cached attribute) PseudoShuffled (class in gluonts.itertools) PtArgProj (class in gluonts.torch.distributions.output) push() (gluonts.core.settings.LinkedList method) PyTorchLightningEstimator (class in gluonts.torch) (class in gluonts.torch.model.estimator) PyTorchPredictor (class in gluonts.torch) (class in gluonts.torch.model.predictor)

Q

q (gluonts.ev.metrics.Coverage attribute) (gluonts.ev.metrics.MeanScaledQuantileLoss attribute) (gluonts.ev.metrics.SumQuantileLoss attribute) (gluonts.ev.metrics.WeightedSumQuantileLoss attribute) Quantile (class in gluonts.model.forecast) quantile() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) (gluonts.model.forecast.QuantileForecast method) (gluonts.model.forecast.SampleForecast method) (gluonts.model.QuantileForecast method) (gluonts.model.SampleForecast method) (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) (gluonts.torch.model.forecast.DistributionForecast method) quantile_internal() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) quantile_levels (gluonts.ev.metrics.AverageMeanScaledQuantileLoss attribute) (gluonts.ev.metrics.MAECoverage attribute) (gluonts.ev.metrics.MeanSumQuantileLoss attribute) (gluonts.ev.metrics.MeanWeightedSumQuantileLoss attribute) (gluonts.ext.statsforecast.ModelConfig attribute)

quantile_loss() (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetwork method) (gluonts.torch.distributions.ImplicitQuantileNetwork method) (in module gluonts.ev.stats) (in module gluonts.evaluation.metrics) quantile_losses() (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution method) (gluonts.torch.distributions.DiscreteDistribution method) quantile_spline() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) quantile_tail() (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) quantile_to_interval_level() (in module gluonts.ext.r_forecast.util) quantile_ts() (gluonts.model.Forecast method) (gluonts.model.forecast.Forecast method) QuantileForecast (class in gluonts.model) (class in gluonts.model.forecast) QuantileForecastGenerator (class in gluonts.model.forecast_generator) QuantileLayer (class in gluonts.torch.distributions.implicit_quantile_network) QuantileOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.quantile_output) quantiles (gluonts.torch.distributions.quantile_output.QuantileOutput property) (gluonts.torch.distributions.QuantileOutput property) QuantizeMeanScaled (class in gluonts.transform) (class in gluonts.transform.convert)

R

random_state (gluonts.itertools.RandomYield attribute) RandomBinary (class in gluonts.dataset.artificial.recipe) RandomCat (class in gluonts.dataset.artificial.recipe) RandomChangepoints (class in gluonts.dataset.artificial.recipe) RandomGaussian (class in gluonts.dataset.artificial.recipe) RandomInteger (class in gluonts.dataset.artificial.recipe) RandomSymmetricDirichlet (class in gluonts.dataset.artificial.recipe) RandomUniform (class in gluonts.dataset.artificial.recipe) RandomWalkWithDriftPredictor (class in gluonts.ext.statsforecast) RandomYield (class in gluonts.itertools) range() (gluonts.zebras.Freq method) RBasePredictor (class in gluonts.ext.r_forecast) reader (gluonts.dataset.arrow.ArrowFile attribute) (gluonts.dataset.arrow.file.ArrowFile attribute) (gluonts.dataset.arrow.file.ParquetFile attribute) (gluonts.dataset.arrow.ParquetFile attribute) RecipeDataset (class in gluonts.dataset.artificial) RecordWrapperType (gluonts.shell.sagemaker.train.DataConfig attribute) Ref (class in gluonts.dataset.artificial.recipe) remove() (gluonts.core.settings.ListElement method) (gluonts.zebras.SplitFrame method) (gluonts.zebras.TimeFrame method) remove_static() (gluonts.zebras.TimeFrame method) RemoveFields (class in gluonts.transform) (class in gluonts.transform.field) rename() (gluonts.zebras.TimeFrame method) rename_static() (gluonts.zebras.TimeFrame method) RenameFields (class in gluonts.transform) (class in gluonts.transform.field) repeat_along_dim() (in module gluonts.torch.util) Repeated (class in gluonts.dataset.artificial.recipe) replace() (in module gluonts.itertools) RepresentablePredictor (class in gluonts.model.predictor) required (gluonts.model.Input attribute) (gluonts.model.inputs.Input attribute) (gluonts.zebras.schema.Field attribute) (gluonts.zebras.schema.Metadata attribute)

ResBlock (class in gluonts.torch.model.tide.module) reshape_columns (gluonts.dataset.arrow.dec.ArrowDecoder attribute) reshape_spline_args() (gluonts.torch.distributions.isqf.ISQFOutput method) (gluonts.torch.distributions.ISQFOutput method) resize() (gluonts.zebras.SplitFrame method) resolve() (gluonts.core.settings.Dependency method) (in module gluonts.dataset.artificial.recipe) resolve_device() (in module gluonts.torch.util) reverse() (gluonts.core.settings.LinkedList method) RForecastPredictor (class in gluonts.ext.r_forecast) RHierarchicalForecastPredictor (class in gluonts.ext.r_forecast) right() (gluonts.model.forecast.ExponentialTailApproximation method) RMSE (class in gluonts.ev.metrics) RollingMeanValueImputation (class in gluonts.transform) (class in gluonts.transform.feature) rolsplit() (gluonts.zebras.TimeFrame method) root_mean_squared_error() (gluonts.ev.metrics.RMSE static method) roundrobin() (in module gluonts.itertools) row (gluonts.dataset.common.SourceContext attribute) rows_to_columns() (in module gluonts.itertools) rps() (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution method) (gluonts.torch.distributions.DiscreteDistribution method) rsample() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.ISQF method) (gluonts.torch.distributions.isqf.ISQF method) (gluonts.torch.distributions.piecewise_linear.PiecewiseLinear method) (gluonts.torch.distributions.PiecewiseLinear method) (gluonts.torch.distributions.truncated_normal.TruncatedNormal method) (gluonts.torch.distributions.TruncatedNormal method) run_test() (in module gluonts.shell.train) run_train() (in module gluonts.shell.train) run_train_and_test() (in module gluonts.shell.train) RX (gluonts.dataset.schema.translate.TokenStream attribute)

S

S (gluonts.dataset.hierarchical.HierarchicalTimeSeries property) S3DistributionType (gluonts.shell.sagemaker.train.DataConfig attribute) safe_extractall() (in module gluonts.util) sample() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) (gluonts.torch.distributions.discrete_distribution.DiscreteDistribution method) (gluonts.torch.distributions.DiscreteDistribution method) (gluonts.torch.distributions.implicit_quantile_network.ImplicitQuantileNetwork method) (gluonts.torch.distributions.ImplicitQuantileNetwork method) SampleForecast (class in gluonts.model) (class in gluonts.model.forecast) SampleForecastGenerator (class in gluonts.model.forecast_generator) SampleTargetDim (class in gluonts.transform) (class in gluonts.transform.convert) save() (gluonts.dataset.common.TrainDatasets method) Scalar (class in gluonts.zebras.schema) scale_histogram (gluonts.dataset.stat.DatasetStatistics attribute) (gluonts.transform.BucketInstanceSampler attribute) (gluonts.transform.sampler.BucketInstanceSampler attribute) scaled_interval_score() (in module gluonts.ev.stats) scaled_quantile_loss() (in module gluonts.ev.stats) ScaleHistogram (class in gluonts.dataset.stat) Scaler (class in gluonts.torch.scaler) Schema (class in gluonts.zebras.schema) schema (gluonts.dataset.arrow.ArrowFile property) (gluonts.dataset.arrow.file.ArrowFile property) scipy_nbinom (gluonts.torch.distributions.negative_binomial.NegativeBinomial property) scipy_student_t (gluonts.torch.distributions.studentT.StudentT property) seasonal_error() (in module gluonts.ev.ts_stats) SeasonalAggregatePredictor (class in gluonts.model.seasonal_agg) SeasonalExponentialSmoothingOptimizedPredictor (class in gluonts.ext.statsforecast) SeasonalExponentialSmoothingPredictor (class in gluonts.ext.statsforecast) SeasonalNaivePredictor (class in gluonts.ext.statsforecast) (class in gluonts.model.seasonal_naive) SeasonalWindowAveragePredictor (class in gluonts.ext.statsforecast) second_of_minute() (in module gluonts.time_feature) second_of_minute_index() (in module gluonts.time_feature) select() (in module gluonts.itertools) SelectFields (class in gluonts.transform) (class in gluonts.transform.field) serialize() (gluonts.ext.rotbaum.TreePredictor method) (gluonts.model.Predictor method) (gluonts.model.predictor.Predictor method) (gluonts.model.predictor.RepresentablePredictor method) (gluonts.torch.model.predictor.PyTorchPredictor method) (gluonts.torch.PyTorchPredictor method) serialize_message() (in module gluonts.evaluation.backtest) SeriesDecomp (class in gluonts.torch.model.d_linear.module) ServeEnv (class in gluonts.shell.env) (class in gluonts.shell.sagemaker) (class in gluonts.shell.sagemaker.serve) ServePaths (class in gluonts.shell.sagemaker) (class in gluonts.shell.sagemaker.serve) set() (gluonts.core.serde.Eventual method) (gluonts.zebras.SplitFrame method) (gluonts.zebras.TimeFrame method) set_default() (gluonts.core.serde.Eventual method) set_future() (gluonts.zebras.SplitFrame method) set_like() (gluonts.zebras.SplitFrame method) (gluonts.zebras.TimeFrame method) set_past() (gluonts.zebras.SplitFrame method) set_static() (gluonts.zebras.TimeFrame method) SetField (class in gluonts.transform) (class in gluonts.transform.field) SetFieldIfNotPresent (class in gluonts.transform) (class in gluonts.transform.field) Settings (class in gluonts.core.settings) shape (gluonts.model.Input attribute) (gluonts.model.inputs.Input attribute) (gluonts.zebras.BatchTimeSeries property) (gluonts.zebras.Period property) (gluonts.zebras.Periods property) (gluonts.zebras.schema.Array attribute) (gluonts.zebras.TimeSeries property) shapes (gluonts.model.inputs.InputSpec property) (gluonts.model.InputSpec property) shift() (gluonts.zebras.Freq method) shuffle_buffer_length (gluonts.itertools.PseudoShuffled attribute) SimpleExponentialSmoothingOptimizedPredictor (class in gluonts.ext.statsforecast) SimpleExponentialSmoothingPredictor (class in gluonts.ext.statsforecast) SimpleFeedForwardEstimator (class in gluonts.torch) (class in gluonts.torch.model.simple_feedforward) (class in gluonts.torch.model.simple_feedforward.estimator) SimpleFeedForwardLightningModule (class in gluonts.torch.model.simple_feedforward) (class in gluonts.torch.model.simple_feedforward.lightning_module) SimpleFeedForwardModel (class in gluonts.torch.model.simple_feedforward) (class in gluonts.torch.model.simple_feedforward.module) SimpleTransformation (class in gluonts.transform) SinusoidalPositionalEmbedding (class in gluonts.torch.model.patch_tst) (class in gluonts.torch.model.patch_tst.module) SizedIterable (class in gluonts.itertools) SizedIterableSlice (class in gluonts.itertools) skip_encoding() (in module gluonts.core.component) slice_along_dim() (in module gluonts.torch.util) slice_data_entry() (in module gluonts.dataset.split) SMAPE (class in gluonts.ev.metrics) smape() (in module gluonts.evaluation.metrics)

SmoothSeasonality (class in gluonts.dataset.artificial.recipe) Some (class in gluonts.maybe) source (gluonts.dataset.common.SourceContext attribute) SourceContext (class in gluonts.dataset.common) SpecialDateFeatureSet (class in gluonts.time_feature) (class in gluonts.time_feature.holiday) SplicedBinnedPareto (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.spliced_binned_pareto) SplicedBinnedParetoOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.spliced_binned_pareto) split() (gluonts.dataset.split.AbstractBaseSplitter method) (gluonts.zebras.TimeFrame method) (in module gluonts.dataset.split) (in module gluonts.itertools) split_by_prefix() (in module gluonts.shell.sagemaker.nested_params) split_frame() (in module gluonts.zebras) split_into() (in module gluonts.itertools) SplitFrame (class in gluonts.zebras) splitter (gluonts.dataset.split.TestData attribute) (gluonts.dataset.split.TestTemplate attribute) (gluonts.dataset.split.TrainingDataset attribute) squared_error() (in module gluonts.ev.stats) squared_exponential_kernel() (in module gluonts.time_feature.holiday) Stack (class in gluonts.dataset.artificial.recipe) (class in gluonts.dataset.loader) (class in gluonts.dataset.schema.translate) stack() (gluonts.zebras.TimeFrame method) (in module gluonts.testutil.batchify) (in module gluonts.torch.batchify) StackPrefix (class in gluonts.dataset.artificial.recipe) standard_gaussian_cdf() (gluonts.transform.CDFtoGaussianTransform static method) (gluonts.transform.convert.CDFtoGaussianTransform static method) standard_gaussian_ppf() (gluonts.transform.CDFtoGaussianTransform static method) (gluonts.transform.convert.CDFtoGaussianTransform static method) standard_normal_scaling() (in module gluonts.torch.model.deep_npts.scaling) StarMap (class in gluonts.itertools) START (gluonts.dataset.field_names.FieldName attribute) start (gluonts.dataset.jsonl.JsonLinesFile attribute) (gluonts.zebras.Periods property) start_date (gluonts.model.Forecast attribute) (gluonts.model.forecast.Forecast attribute) stat (gluonts.ev.metrics.DirectMetric attribute) Stateful (class in gluonts.core.serde) Stateless (class in gluonts.core.serde) static (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.SplitFrame attribute) (gluonts.zebras.TimeFrame attribute) static_cardinalities (gluonts.dataset.pandas.PandasDataset property) static_features (gluonts.dataset.pandas.PandasDataset attribute) statsforecast_keys (gluonts.ext.statsforecast.ModelConfig attribute) StatsForecastPredictor (class in gluonts.ext.statsforecast) stddev (gluonts.torch.distributions.affine_transformed.AffineTransformed property) (gluonts.torch.distributions.AffineTransformed property) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto property) (gluonts.torch.distributions.GeneralizedPareto property) StdScaler (class in gluonts.torch.scaler) step (gluonts.zebras.Freq property) step() (gluonts.ev.aggregations.Aggregation method) (gluonts.ev.aggregations.Mean method) (gluonts.ev.aggregations.Sum method) stream (gluonts.dataset.arrow.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ArrowWriter attribute) (gluonts.dataset.schema.translate.Parser attribute) stream() (gluonts.itertools.Cyclic method) StudentT (class in gluonts.torch.distributions.studentT) StudentTOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.studentT) styles (gluonts.meta.style.Dark attribute) suffix (gluonts.dataset.arrow.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ArrowWriter attribute) (gluonts.dataset.arrow.enc.ParquetWriter attribute) (gluonts.dataset.arrow.ParquetWriter attribute) (gluonts.dataset.jsonl.JsonLinesWriter attribute) (gluonts.zebras.Freq attribute) SUFFIXES (gluonts.dataset.arrow.File attribute) (gluonts.dataset.arrow.file.File attribute) (gluonts.dataset.jsonl.JsonLinesFile attribute) Sum (class in gluonts.ev.aggregations) SumAbsoluteError (class in gluonts.ev.metrics) SumAbsoluteLabel (class in gluonts.ev.metrics) SumError (class in gluonts.ev.metrics) SumNumMaskedTargetValues (class in gluonts.ev.metrics) SumQuantileLoss (class in gluonts.ev.metrics) support (gluonts.torch.distributions.binned_uniforms.BinnedUniforms attribute) (gluonts.torch.distributions.BinnedUniforms attribute) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto attribute) (gluonts.torch.distributions.GeneralizedPareto attribute) (gluonts.torch.distributions.spliced_binned_pareto.SplicedBinnedPareto attribute) (gluonts.torch.distributions.SplicedBinnedPareto attribute) (gluonts.torch.distributions.truncated_normal.TruncatedNormal property) (gluonts.torch.distributions.TruncatedNormal property) swap() (gluonts.transform.convert.SwapAxes method) (gluonts.transform.SwapAxes method) SwapAxes (class in gluonts.transform) (class in gluonts.transform.convert) symmetric_absolute_percentage_error() (in module gluonts.ev.stats)

T

tail() (gluonts.zebras.Periods method) tail_range() (gluonts.model.forecast.ExponentialTailApproximation method) take_as_list() (in module gluonts.dataset.artificial.recipe) take_last() (in module gluonts.torch.util) target (gluonts.dataset.common.MetaData attribute) TARGET (gluonts.dataset.field_names.FieldName attribute) target (gluonts.dataset.pandas.PandasDataset attribute) TARGET_DIM_INDICATOR (gluonts.dataset.field_names.FieldName attribute) target_feature_embedding() (gluonts.torch.model.wavenet.module.WaveNet method) (gluonts.torch.model.wavenet.WaveNet method) target_transformation_length() (in module gluonts.transform) (in module gluonts.transform.feature) TargetDimIndicator (class in gluonts.transform) (class in gluonts.transform.convert) tdim (gluonts.zebras.BatchTimeSeries attribute) (gluonts.zebras.schema.TimeSeries attribute) (gluonts.zebras.TimeSeries attribute) tdims (gluonts.zebras.BatchSplitFrame attribute) (gluonts.zebras.BatchTimeFrame attribute) (gluonts.zebras.SplitFrame attribute) (gluonts.zebras.TimeFrame attribute) TemporalDecoder (class in gluonts.torch.model.tide.module) TemporalFusionDecoder (class in gluonts.torch.model.tft.layers) TemporalFusionEncoder (class in gluonts.torch.model.tft.layers) TemporalFusionTransformerEstimator (class in gluonts.torch) (class in gluonts.torch.model.tft) (class in gluonts.torch.model.tft.estimator) TemporalFusionTransformerLightningModule (class in gluonts.torch.model.tft) (class in gluonts.torch.model.tft.lightning_module) TemporalFusionTransformerModel (class in gluonts.torch.model.tft) (class in gluonts.torch.model.tft.module) TemporaryDirectory() (in module gluonts.testutil) tensor_to_numpy() (in module gluonts.core.component) terminate() (gluonts.model.predictor.ParallelizedPredictor method) test (gluonts.dataset.artificial.ArtificialDataset property) (gluonts.dataset.artificial.ComplexSeasonalTimeSeries property) (gluonts.dataset.artificial.ConstantDataset property) (gluonts.dataset.artificial.RecipeDataset property) (gluonts.dataset.common.TrainDatasets attribute) test_data (gluonts.dataset.split.InputDataset attribute) (gluonts.dataset.split.LabelDataset attribute) test_pair() (gluonts.dataset.split.AbstractBaseSplitter method) (gluonts.dataset.split.DateSplitter method) (gluonts.dataset.split.OffsetSplitter method) TestData (class in gluonts.dataset.split) TestSplitSampler() (in module gluonts.transform) (in module gluonts.transform.sampler) TestTemplate (class in gluonts.dataset.split) TFTInstanceSplitter (class in gluonts.transform.split) ThetaPredictor (class in gluonts.ext.statsforecast) TiDEEstimator (class in gluonts.torch) (class in gluonts.torch.model.tide) (class in gluonts.torch.model.tide.estimator) TiDELightningModule (class in gluonts.torch.model.tide) (class in gluonts.torch.model.tide.lightning_module) TiDEModel (class in gluonts.torch.model.tide) (class in gluonts.torch.model.tide.module) time_features_from_frequency_str() (in module gluonts.time_feature) time_frame() (in module gluonts.zebras) time_series() (in module gluonts.zebras) TimeFrame (class in gluonts.zebras) TimeSeries (class in gluonts.zebras) (class in gluonts.zebras.schema) timestamp (gluonts.dataset.pandas.PandasDataset attribute) to() (gluonts.torch.model.predictor.PyTorchPredictor method) (gluonts.torch.PyTorchPredictor method) to_dataset() (gluonts.dataset.hierarchical.HierarchicalTimeSeries method) to_integer_slice() (in module gluonts.dataset.split) to_numpy() (gluonts.zebras.Period method) (gluonts.zebras.Periods method) (gluonts.zebras.TimeSeries method) (in module gluonts.model.forecast_generator) to_pandas() (gluonts.zebras.Freq method) (gluonts.zebras.Period method) (gluonts.zebras.Periods method) (in module gluonts.dataset.util) to_positive_slice() (in module gluonts.dataset.split) to_quantile_forecast() (gluonts.model.forecast.SampleForecast method) (gluonts.model.SampleForecast method) to_sample_forecast() (gluonts.torch.model.forecast.DistributionForecast method) to_timestamp() (gluonts.zebras.Period method) to_ts() (gluonts.dataset.multivariate_grouper.MultivariateGrouper static method) ToIntervalSizeFormat (class in gluonts.transform.convert) Token (class in gluonts.dataset.schema.translate) TOKENS (gluonts.dataset.schema.translate.TokenStream attribute) tokens (gluonts.dataset.schema.translate.TokenStream attribute) TokenStream (class in gluonts.dataset.schema.translate) total_length (gluonts.transform.ExpectedNumInstanceSampler attribute) (gluonts.transform.sampler.ExpectedNumInstanceSampler attribute) train (gluonts.dataset.artificial.ArtificialDataset property) (gluonts.dataset.artificial.ComplexSeasonalTimeSeries property) (gluonts.dataset.artificial.ConstantDataset property) (gluonts.dataset.artificial.RecipeDataset property) (gluonts.dataset.common.TrainDatasets attribute) train() (gluonts.ext.rotbaum.TreePredictor method) (gluonts.model.Estimator method) (gluonts.model.estimator.Estimator method) (gluonts.model.trivial.mean.MeanEstimator method) (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.PyTorchLightningEstimator method)

train_from() (gluonts.model.estimator.IncrementallyTrainable method) (gluonts.model.IncrementallyTrainable method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.PyTorchLightningEstimator method) train_model() (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) (gluonts.torch.model.estimator.PyTorchLightningEstimator method) (gluonts.torch.PyTorchLightningEstimator method) TrainDataLoader() (in module gluonts.dataset.loader) TrainDatasets (class in gluonts.dataset.common) trained_net (gluonts.torch.model.estimator.TrainOutput attribute) TrainEnv (class in gluonts.shell.env) (class in gluonts.shell.sagemaker) (class in gluonts.shell.sagemaker.train) trainer (gluonts.torch.model.estimator.TrainOutput attribute) training_data_loader() (gluonts.torch.DeepNPTSEstimator method) (gluonts.torch.model.deep_npts.DeepNPTSEstimator method) training_entry() (gluonts.dataset.split.AbstractBaseSplitter method) (gluonts.dataset.split.DateSplitter method) (gluonts.dataset.split.OffsetSplitter method) training_step() (gluonts.torch.model.d_linear.DLinearLightningModule method) (gluonts.torch.model.d_linear.lightning_module.DLinearLightningModule method) (gluonts.torch.model.deepar.DeepARLightningModule method) (gluonts.torch.model.deepar.lightning_module.DeepARLightningModule method) (gluonts.torch.model.i_transformer.ITransformerLightningModule method) (gluonts.torch.model.i_transformer.lightning_module.ITransformerLightningModule method) (gluonts.torch.model.lag_tst.LagTSTLightningModule method) (gluonts.torch.model.lag_tst.lightning_module.LagTSTLightningModule method) (gluonts.torch.model.patch_tst.lightning_module.PatchTSTLightningModule method) (gluonts.torch.model.patch_tst.PatchTSTLightningModule method) (gluonts.torch.model.simple_feedforward.lightning_module.SimpleFeedForwardLightningModule method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardLightningModule method) (gluonts.torch.model.tft.lightning_module.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tft.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tide.lightning_module.TiDELightningModule method) (gluonts.torch.model.tide.TiDELightningModule method) (gluonts.torch.model.wavenet.lightning_module.WaveNetLightningModule method) (gluonts.torch.model.wavenet.WaveNetLightningModule method) TrainingDataset (class in gluonts.dataset.split) TrainingInputMode (gluonts.shell.sagemaker.train.DataConfig attribute) TrainOutput (class in gluonts.torch.model.estimator) TrainPaths (class in gluonts.shell.sagemaker) (class in gluonts.shell.sagemaker.train) transform() (gluonts.transform.AddObservedValuesIndicator method) (gluonts.transform.AdhocTransform method) (gluonts.transform.AsNumpyArray method) (gluonts.transform.ConcatFeatures method) (gluonts.transform.convert.AsNumpyArray method) (gluonts.transform.convert.ConcatFeatures method) (gluonts.transform.convert.ExpandDimArray method) (gluonts.transform.convert.ListFeatures method) (gluonts.transform.convert.QuantizeMeanScaled method) (gluonts.transform.convert.SwapAxes method) (gluonts.transform.convert.TargetDimIndicator method) (gluonts.transform.convert.Valmap method) (gluonts.transform.convert.VstackFeatures method) (gluonts.transform.ExpandDimArray method) (gluonts.transform.feature.AddObservedValuesIndicator method) (gluonts.transform.feature.CountTrailingZeros method) (gluonts.transform.field.RemoveFields method) (gluonts.transform.field.RenameFields method) (gluonts.transform.field.SetField method) (gluonts.transform.field.SetFieldIfNotPresent method) (gluonts.transform.ListFeatures method) (gluonts.transform.QuantizeMeanScaled method) (gluonts.transform.RemoveFields method) (gluonts.transform.RenameFields method) (gluonts.transform.SetField method) (gluonts.transform.SetFieldIfNotPresent method) (gluonts.transform.SimpleTransformation method) (gluonts.transform.SwapAxes method) (gluonts.transform.TargetDimIndicator method) (gluonts.transform.Valmap method) (gluonts.transform.VstackFeatures method) Transformation (class in gluonts.transform) transformation (gluonts.torch.model.estimator.TrainOutput attribute) transformations (gluonts.transform.Chain attribute) TransformedDataset (class in gluonts.transform) TransformedISQF (class in gluonts.torch.distributions.isqf) TransformedPiecewiseLinear (class in gluonts.torch.distributions.piecewise_linear) Translator (class in gluonts.dataset.schema) (class in gluonts.dataset.schema.translate) TreeEstimator (class in gluonts.ext.rotbaum) TreePredictor (class in gluonts.ext.rotbaum) trim_encoded_sagemaker_parameters() (in module gluonts.shell.sagemaker.params) trim_nans() (in module gluonts.itertools) trim_ts_item_end() (gluonts.dataset.artificial.RecipeDataset static method) trim_ts_item_front() (gluonts.dataset.artificial.RecipeDataset static method) TruncatedNormal (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.truncated_normal) TruncatedNormalOutput (class in gluonts.torch.distributions) (class in gluonts.torch.distributions.truncated_normal) ts_at_all_levels (gluonts.dataset.hierarchical.HierarchicalTimeSeries property) TSBPredictor (class in gluonts.ext.statsforecast) type (gluonts.zebras.schema.Metadata attribute) (gluonts.zebras.schema.Scalar attribute)

U

unbox() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) unchecked (gluonts.dataset.pandas.PandasDataset attribute) uniform (gluonts.model.npts.KernelType attribute) UniformSplitSampler (class in gluonts.transform) (class in gluonts.transform.sampler) unix_epoch() (gluonts.zebras.Period method) (gluonts.zebras.Periods method) unlist() (in module gluonts.ext.r_forecast.util) unroll_lagged_rnn() (gluonts.torch.model.deepar.DeepARModel method) (gluonts.torch.model.deepar.module.DeepARModel method) unsqueeze_expand() (in module gluonts.torch.util) unwrap() (gluonts.core.serde.Eventual method) (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe)

unwrap_or() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) unwrap_or_else() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe) update() (gluonts.ev.metrics.DerivedMetric method) (gluonts.ev.metrics.DirectMetric method) (gluonts.ev.metrics.Metric method) (gluonts.ev.metrics.MetricCollection method) update_all() (gluonts.ev.metrics.Metric method) (gluonts.ev.metrics.MetricCollection method) use_gzip (gluonts.dataset.jsonl.JsonLinesWriter attribute) use_timestamp (gluonts.dataset.common.ProcessStartField attribute) use_tqdm (gluonts.env.Environment attribute)

V

val (gluonts.maybe.Some attribute) validated() (in module gluonts.core.component) validation_step() (gluonts.torch.model.d_linear.DLinearLightningModule method) (gluonts.torch.model.d_linear.lightning_module.DLinearLightningModule method) (gluonts.torch.model.deepar.DeepARLightningModule method) (gluonts.torch.model.deepar.lightning_module.DeepARLightningModule method) (gluonts.torch.model.i_transformer.ITransformerLightningModule method) (gluonts.torch.model.i_transformer.lightning_module.ITransformerLightningModule method) (gluonts.torch.model.lag_tst.LagTSTLightningModule method) (gluonts.torch.model.lag_tst.lightning_module.LagTSTLightningModule method) (gluonts.torch.model.patch_tst.lightning_module.PatchTSTLightningModule method) (gluonts.torch.model.patch_tst.PatchTSTLightningModule method) (gluonts.torch.model.simple_feedforward.lightning_module.SimpleFeedForwardLightningModule method) (gluonts.torch.model.simple_feedforward.SimpleFeedForwardLightningModule method) (gluonts.torch.model.tft.lightning_module.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tft.TemporalFusionTransformerLightningModule method) (gluonts.torch.model.tide.lightning_module.TiDELightningModule method) (gluonts.torch.model.tide.TiDELightningModule method) (gluonts.torch.model.wavenet.lightning_module.WaveNetLightningModule method) (gluonts.torch.model.wavenet.WaveNetLightningModule method) ValidationDataLoader() (in module gluonts.dataset.loader) ValidationSplitSampler() (in module gluonts.transform) (in module gluonts.transform.sampler) Valmap (class in gluonts.transform) (class in gluonts.transform.convert)

value (gluonts.core.serde.Eventual attribute) (gluonts.dataset.schema.translate.Token attribute) (gluonts.model.forecast.Quantile attribute) (gluonts.time_feature.Constant attribute) value_in_support (gluonts.torch.distributions.BetaOutput property) (gluonts.torch.distributions.distribution_output.BetaOutput property) (gluonts.torch.distributions.distribution_output.GammaOutput property) (gluonts.torch.distributions.GammaOutput property) (gluonts.torch.distributions.Output property) (gluonts.torch.distributions.output.Output property) values (gluonts.zebras.BatchTimeSeries attribute) (gluonts.zebras.TimeSeries attribute) VariableSelectionNetwork (class in gluonts.torch.model.tft.layers) variance (gluonts.torch.distributions.affine_transformed.AffineTransformed property) (gluonts.torch.distributions.AffineTransformed property) (gluonts.torch.distributions.generalized_pareto.GeneralizedPareto property) (gluonts.torch.distributions.GeneralizedPareto property) (gluonts.torch.distributions.truncated_normal.TruncatedNormal property) (gluonts.torch.distributions.TruncatedNormal property) variance() (gluonts.torch.distributions.binned_uniforms.BinnedUniforms method) (gluonts.torch.distributions.BinnedUniforms method) VstackFeatures (class in gluonts.transform) (class in gluonts.transform.convert)

W

WaveNet (class in gluonts.torch.model.wavenet) (class in gluonts.torch.model.wavenet.module) WaveNetEstimator (class in gluonts.torch) (class in gluonts.torch.model.wavenet) (class in gluonts.torch.model.wavenet.estimator) WaveNetLightningModule (class in gluonts.torch.model.wavenet) (class in gluonts.torch.model.wavenet.lightning_module) week_of_year() (in module gluonts.time_feature) week_of_year_index() (in module gluonts.time_feature) weight_sum_quantile_loss() (gluonts.ev.metrics.WeightedSumQuantileLoss static method) weighted_average() (in module gluonts.torch.util) WeightedSumQuantileLoss (class in gluonts.ev.metrics) will_extractall_into() (in module gluonts.util) WindowAveragePredictor (class in gluonts.ext.statsforecast) windows (gluonts.dataset.split.TestData attribute) winsorized_cutoff() (gluonts.transform.CDFtoGaussianTransform static method) (gluonts.transform.convert.CDFtoGaussianTransform static method)

with_index() (gluonts.zebras.SplitFrame method) WorkerError (class in gluonts.model.predictor) write_dataset() (in module gluonts.dataset.arrow) (in module gluonts.dataset.arrow.enc) write_to_file() (gluonts.dataset.arrow.ArrowWriter method) (gluonts.dataset.arrow.enc.ArrowWriter method) (gluonts.dataset.arrow.enc.ParquetWriter method) (gluonts.dataset.arrow.ParquetWriter method) (gluonts.dataset.DatasetWriter method) (gluonts.dataset.jsonl.JsonLinesWriter method) write_to_folder() (gluonts.dataset.arrow.ArrowWriter method) (gluonts.dataset.arrow.enc.ArrowWriter method) (gluonts.dataset.arrow.enc.ParquetWriter method) (gluonts.dataset.arrow.ParquetWriter method) (gluonts.dataset.DatasetWriter method) (gluonts.dataset.jsonl.JsonLinesWriter method)

X

xor() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe)

Z

zeros() (gluonts.model.inputs.InputSpec method) (gluonts.model.InputSpec method) zeros_fn (gluonts.model.inputs.InputSpec attribute) (gluonts.model.InputSpec attribute) zip() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe)

zip_with() (gluonts.maybe.Maybe method) (gluonts.maybe.Some method) (in module gluonts.maybe)