What's Changed
- The Capture-24 dataset was revised for annotation errors and ML models were retrained accordingly. Differences in the ML classification outputs might be expected.
- Major change in the random forest models to be based on [imbalanced-learn](https://imbalanced-learn.org/) package to replace the monkeypatch approach employed so far c14c1a35a4a2b4a2dc5a8ceae592a87e2438bff2
- Fix spectral entropy normalization feature 8abdc32c11d4e074584b91284be0c06b06fa908a
- No longer compute/use fft3d features (expensive and not really useful). Also reduce number of fft features from 12 to 10 aca88ca4cae23ec9d160697c81f9c2314fe5375e
- Github Actions to no longer run classification as the new models are a bit too large.
- Minor refactoring: summary variable name changes (`wear` -> `wearTime`, `CutPoint*` -> `cutPoint*`, etc.)
- Other small improvements.
Due to the changes above, older activity classification models are no longer supported (you can still use them reverting to older releases).