Models for timeseries forecasting.
Modules
pytorch_forecasting.models.base_model
Timeseries models share a number of common characteristics.
pytorch_forecasting.models.baseline
Baseline model.
pytorch_forecasting.models.deepar
DeepAR: Probabilistic forecasting with autoregressive recurrent networks which is the one of the most popular forecasting algorithms and is often used as a baseline
pytorch_forecasting.models.nbeats
N-Beats model for timeseries forecasting without covariates.
pytorch_forecasting.models.nn
pytorch_forecasting.models.temporal_fusion_transformer
The temporal fusion transformer is a powerful predictive model for forecasting timeseries