📣 We just released v1.0.0 of HierarchicaForecast, which adds the following features: • 🐻‍❄️ Polars support (#305). This PR adds Polars support for HierarchicalForecast, and adds an example to the docs. You can now enjoy full compatibility with Polars in HF! • 🙏 Evaluation unified with utilsforecast (#311). We restructured the evaluation functionality in HierarchicalForecast to follow the same API as utilsforecast, further unifying API throughout our libraries. The old evaluation functions will be deprecated in future releases, and documentation has been adapted to show the new behavior. Note that as of v1.0.0, hierarchicalforecast no longer supports the use of

unique_id

as index column. Simply put, your input data should always be a flat table without an index. Questions or suggestions for new features? Let us know as a comment or file an issue on Github. Our priority for the next release is adding temporal hierarchical reconciliation methods, but open to suggestions otherwise! Happy forecasting!

Awesome! Unified evaluation is really nice!

@Carla Coll, this is also nice material for the newsletter