v0.1.1

• Add immutable cross-sectional and temporal forecast reconciliation
• Fix bug in temporal forecast reconciliation
• Improve documentation and examples
• Fix custom agg_order in tetools by @AngelPone in #2

Full Changelog: https://danigiro.github.io/FoRecoPy/changelog.html

v0.1.0

The FoRecoPy package is inspired by the R package FoReco and brings similar functionality to Python. It is designed for researchers, practitioners, and data scientists who use Python for time series forecasting.

Future versions will expand the scope to include the cross-temporal framework, non-negative constraints and probabilistic reconciliation.

Full Changelog: https://github.com/danigiro/FoRecoPy/commits/v0.1.0