aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [MNT] Remove estimators excluded from `check_non_state_changing_method`
- [BUG] `FLUSSSegmenter` stores results on self in `predict`
- [BUG] `ClaSPSegmenter` stores results on self in `predict`
- [BUG] `HMMSegmenter` sets attributes during `predict`
- [BUG] `InformationGainSegmenter` modifies its inner `_IGTS` object in `predict`
- [BUG] `GreedyGaussianSegmenter` modifies its inner `_GGS` object in `predict`
- [BUG] `ROCKAD` fails `check_non_state_changing_method` due to `NearestNeighbors` tree statistics
- [BUG] `COPOD` predict modifies the fitted PyOD model
- [BUG] `dtw_distance` raises a numba `TypingError` when the two series have different dtypes
- [BUG] Avoid in-place series swap in DTW distance to support mixed dtypes and fix Itakura asymmetry
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