Releases: dunnkers/fseval
Releases · dunnkers/fseval
3.1.0
What's Changed
- Recipe/running on aws by @dunnkers in #86
- Install Node.js in the Devcontainer by @dunnkers in #87
- Updated schematic according to paper by @dunnkers in #88
- Add Developer instructions by @dunnkers in #89
- Add big feature selector benchmark by @dunnkers in #90
- Add statement of need to docs by @dunnkers in #92
Full Changelog: v3.0.4...3.1.0
3.0.4
What's Changed
- Fix license badge by @dunnkers in #80
- Improve installation instructions by @dunnkers in #81
- Add some docs explaining how to "analyze FS algorithm stability" by @dunnkers in #83
- Small-fix-in-algorithm-stability-plus-upgrade-docusaurus by @dunnkers in #84
Full Changelog: v3.0.3...v3.0.4
3.0.3
3.0.2
3.0.1
3.0.0
New release! 🚀
Many parts of the API changed for the sake of better documentation. Most importantly:
- Usage is now not primarily through a CLI, but by defining your own Hydra app. This lets the user easier understand what's going on.
- Classifiers/Regressors are now defined in separate configs. This makes the entire config easier to read/reason about.
- Docstrings for every configuration needed.
- Documentation website with Docusaurus.
- Much higher test coverage. Badges for test coverage and supported Python versions.
Checkout the new documentation website!
2.1.2
2.1.1
2.1.0
Many fixes and new features.
- 🏷 More built-ins: add 5 OpenML datasets and add Infinite Selection (b52e0da and 008f9ed)
- 💪🏻 Add multiprocessing support (53987d0, cacc902)
- 🌺 Feature support and feature rankings are now also scored (9ee15a5)
- 📊 Upload raw feature ranker matrices, so they can be processed on the frontend (146bc47)
- 🔨 Fix caching. Now behaves like expected. (07e631d, 86f4ca3)
- ⚙️ Upgrade to Hydra 1.1.0 (8e0d976)
- 📊 Feature support vectors are now validated in a separate step. Outputs another validation score. (dea00ab)
- 📊 Add charts as part of pipeline. This allows users to get interpretable results without any configuring on their part. (f050a87)