aeon
https://github.com/aeon-toolkit/aeon
Python
A toolkit for machine learning from time series
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- Issues
- [MNT] Improve test coverage for transformations/collection/dictionary_based (PAA, SAX, SFAWhole)
- fix(padder): validate fill_value to reject arrays and unsupported types
- [BUG] Validate RandomChannelSelector p during fit
- [BUG] Validate p in _fit instead of __init__ for RandomChannelSelector
- [BUG] Fix AutocorrelationFunctionTransformer crash with default n_lags=None
- [BUG,MNT] Fix ClaSP/ACF crash bugs and improve transformations/series test coverage
- [BUG] fix SFA/SFAFast get_words for sliding window configurations
- [DOC] Forecasting notebooks
- [BUG] fix: move RandomChannelSelector p validation from __init__ to _fit
- [BUG] RandomChannelSelector validates p in __init__ instead of _fit (violates sklearn clone contract)
- Docs
- Python not yet supported