Nixtla/hierarchicalforecast v1.1.0

on GitHub

New features

• [FEAT] Add sparse non-negative OLS and WLS via QP for MinTraceSparse by @christophertitchen in #319
• [FEAT] Implement adjacency matrix by @christophertitchen in #332
• [FEAT] Extremely fast forecast proportions by @christophertitchen in #334

Bug fixes

• [FIX] Handle zero division in top down methods by @mattbuot in #325
• [FIX] Raise warning on NaN values when using average proportions and proportion averages methods by @janrth in #335
• [FIX] TopDown method failing on combinations with other methods by @elephaint in #330
• [FIX] ERM-reg and ERM-reg-bu equations by @elephaint in #331
• [FIX] Produce reproducable samples for PERMBU by @elephaint in #337

Documentation

• [FIX] API reference links, removal of unnecessary headers @elephaint in #318

New Contributors

• @mattbuot made their first contribution in #325
• @janrth made their first contribution in #335

Full Changelog: v1.0.1...v1.1.0