A simple moving average filter. Works on deterministic and stochastic series.

A `SequentialEncoder` object can store and control multiple past and future covariates encoders at once. It provides the same functionality as sin

Defines Monte Carlo dropout Module as defined in the paper https://arxiv.org/pdf/1506.02142.pdf. In summary, This technique uses the regu

Monthly Air Passengers Dataset, from 1949 to 1960.

Generates index for future covariates on train and inference datasets.

Generates index for past covariates on train and inference datasets

Performs top down reconciliation, as defined `here <https://otexts.com/fpp3/reconciliation.html>`__. This estimator computes the proportions

RMS normalization.

Performs bottom up reconciliation, as defined `here <https://otexts.com/fpp3/reconciliation.html>`__.

Electricity Consumption of households & SMEs (low voltage) and businesses & services (medium voltage) in the city of Zurich [1]_, with values

Stores the explainability results of a :class:`_ForecastingModelExplainer <darts.explainability.explainability._ForecastingModelExplainer>` w

Stub pipeline emulating `tirex-ts` API used by the wrapper. Must provide `_forecast_quantiles(context, prediction_length)`. The wrapper calls