Releases: mobilise-d/mobgap
Releases · mobilise-d/mobgap
v0.3.0 - Continuous Improvements
[0.3.0] - 2024-04-23
Added
- All dataset class have a new property called
data_ss
referring to the single sensor that should be used in the
algorithms.
This was added to move all data related config (i.e. which sensor to use in a pipeline) to the dataset class, making
it easier to implement dataset agnostic pipelines (#119) - A evaluation pipeline for GSD (#124)
- ML based LR classification (#106)
- A evaluation/optimization pipeline for LRC (#106)
Changed
- The loaded reference data now has stricter dtypes (#119)
- Renamed LRD (left-right-detection) to LRC (left-right-classification) (#106)
- For GSD and IC evaluation metrics it is now possible to configure what happens in case of 0-division
(#127)
Fixed
- Loading the reference data from a trial without identified WBs will not raise an error anymore, but will correctly
return an empty DataFrame (#119) - We use operating system independent pandas dtypes everywhere (#118)
Development
- RTD previews are now build for PRs.
v0.2.0 - Added auto data fetching of example data
v0.0.1 - Alpha test release
Updates to trigger cache invalidation