aeon v1.2.0

See our changelog to view all changes for this release.

Highlights

• aeon v1.2.0 drops support for Python 3.9, Python 3.10-3.13 are the currently supported versions.
• Framework for whole-series anomaly detection has been implemented, and the module has been refactored into anomaly_detection.collection and anomaly_detection.series submodules.
• ProximityForest and ProximityTree classifiers have been improved to support unequal length and multivariate series. The classifiers are also significantly faster.
• A new implementation for the TD-MVDC classifier
• The forecasting module has been enhanced with additional methods for direct and recursive forecasting, as well as new algorithms such as ETS. This module is still in early development, and we expect framework changes in future releases.
• The similarity search module has been significantly reworked to fit the aeon style framework seen in other modules. See the module examples and documentation for more details.
• The start of an experimental sub-package for self supervised learning has been added in aeon.transformations.collection.self_supervised, starting with the TRILITE algorithm.

New Contributors

• @Ahmed-Zahran02 made their first contribution in #2737
• @SomtoOnyekwelu made their first contribution in #2764
• @saadaltohamy made their first contribution in #2644
• @nMaax made their first contribution in #2622
• @AnaghDeshpande made their first contribution in #2546

All Contributors

@aadya940, @adityagh006, @Ahmed-Zahran02, @AnaghDeshpande, @aryanpola, @baraline, @hadifawaz1999, @inclinedadarsh, @Kaustbh, @kavya-r30, @kevinzb56, @lucifer4073, @MatthewMiddlehurst, @nMaax, @patrickzib, @pattplatt, @Ramana-Raja, @saadaltohamy, @SebastianSchmidl, @shinymack, @SomtoOnyekwelu, @steenrotsman, @tanishy7777, @TinaJin0228, @TonyBagnall

Full Changelog: v1.1.0...v1.2.0