This is a fork of GluonTS accompanying the paper "End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series" presented at ICML 2021.
Features
Forecasting Models - Hierarchical probabilistic forecasting for coherent multi-level predictions.