Releases: Adversarian/RACER
Releases · Adversarian/RACER
v1.2.1
What's Changed
- Add unittest. by @Adversarian in #1
- Add workflow test. Update actions. by @Adversarian in #2
- Update workflow test and add optimal binning quantizer. by @Adversarian in #3
New Contributors
- @Adversarian made their first contribution in #1
Full Changelog: v1.2.0...v1.2.1
v1.2.0
- RACERPreprocessor now uses Scikit-learn's
OneHotEncoder
andLabelBinarizer
by default. You may usefit_transform_pandas
to use the pandas version of the encoding. However, be advised that the newly addedfit
andtransform
methods still useOneHotEncoder
(for features) andLabelBinarizer
(for targets). - Fixed several issues with the automatic classification task inference.
- Marginally improved overall performance courtesy of Scikit-learn's optimized categorical encoders.
Full Changelog: v1.1.3...v1.2.0
v1.1.3
Full Changelog: v1.1.2...v1.1.3
v1.1.2
Full Changelog: v1.1.1...v1.1.2
v1.1.1
Full Changelog: v1.1.0...v1.1.1
v1.1.0
Full Changelog: v1.0.3...v1.1.0
v1.0.3
Full Changelog: v1.0.2...v1.0.3
Zenodo dummy release
This is a dummy release for Zenodo DOI generation.
v1.0.2
Full Changelog: v1.0.1...v1.0.2
v1.0.1
Full Changelog: v1.0.0...v1.0.1