·
23 commits
to main
since this release
See our changelog to view all changes for this release.
Highlights
- A massive update to the forecasting module and its framework. New forecasters include ARIMA/AutoARIMA, SETAR-Tree/Forest, Theta, TAR/SETAR, and deep learners. Thank you to all contributors including our GSoC 2024 students!
- The shapelet transform and extending algorithms now accept unequal length series and have had a massive speed-up
- KNN and KMeans algorithms now have n_jobs support for multithreading
- A download function for the RehabPile dataset collection has been implemented
- An implementation of ESMOTE for imbalanced classification problems has been added to the collection transformers module
- The Time Mixup Contrastive Learning (TimeMCL) algorithm has been added to the self supervised module housed in the transformations package
New Contributors
- @yarikoptic made their first contribution in #2653
- @CodeFor2001 made their first contribution in #2941
- @angus924 made their first contribution in #3003
- @PipaFlores made their first contribution in #3029
- @sarthakuwar made their first contribution in #2993
- @OutragedOctopus made their first contribution in #3036
All Contributors
@alexbanwell1, @angus924, @aryanpola, @baraline, @chrisholder, @CodeFor2001, @hadifawaz1999, @inclinedadarsh, @Kaustbh, @kavya-r30, @LinGinQiu, @lucifer4073, @MatthewMiddlehurst, @OutragedOctopus, @PipaFlores, @Ramana-Raja, @sarthakuwar, @shinymack, @TinaJin0228, @TonyBagnall, @yarikoptic
Full Changelog: v1.2.0...v1.3.0