aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [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
- [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)
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