aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [BUG] Fix all-NaN STLSeriesTransformer output with robust=True and large outliers
- [ENH] Add prior_correction to HIVECOTEV2, default 0.5
- [DOC] Adjust forecasting docs to allow for multivariate output and series to series
- [ENH] Add FourTheta forecaster
- [ENH] Implement 4Theta forecaster
- [BUG] STLSeriesTransformer ignores low-pass settings, leaves unset values with jump >= 3 and returns NaN with robust=True
- [BUG] Results loader tests fail with pandas 3.1.0: exact float equality on an averaged value
- [BUG] Compare averaged benchmark results with a tolerance in the loader tests
- [BUG] Give each representation its own seed in interval forests
- [ENH] Add Transformer forecasting model
- Docs
- Python not yet supported