aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [BUG] Petitjean barycentre averaging with "ddtw"/"wddtw" returns NaN in the last two time points
- [DOC] Barycentre averaging docs still describe distance support from before 1.3.0
- [MNT] test_warping.py parametrises over the BA distance list instead of the alignment-path distances
- [BUG] TimeSeriesKMeans silently averages with DTW when distance is a callable
- [BUG] Set capability:predict to False for TimeSeriesAgglomerative
- [ENH] Implement 1d-SAX (One-Dimensional SAX) transformation (#3914)
- [ENH] Fix base segmenter contract with optional tag for predict_scores
- [ENH] Segementers changing state in predict
- [BUG] check_segmenter_base_functionality fit_is_empty assertion always passes
- [BUG] GreedyGaussianSegmenter._fit is never called
- Docs
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