aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [BUG] Map default clusterer predict_proba columns to the fitted clusters
- [BUG] Map ddtw and wddtw alignment paths to the original series in BA
- [ENH] Implement native PELT (Pruned Exact Linear Time) segmentation estimator
- [MNT] Replace black and nbQA with ruff format
- [BUG] Reject callable distances with barycentre averaging
- [BUG] Raise on invalid window parameters in dtw_pairwise_distance
- [MNT] Parametrise test_warping over ALIGNMENT_PATH
- [MNT] deprecation tasks for v1.7
- [ENH] Faster unbounded dependent MSM
- [ENH] Clusterer tol defaults differ: TimeSeriesKernelKMeans uses 1e-4, other aeon clusterers 1e-6
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