Releases: JuliaAI/Imbalance.jl
Releases · JuliaAI/Imbalance.jl
v0.1.6
Imbalance v0.1.6
Bug fix: READEME and documentation improvements
New Feature: Random oversampling and undersampling can now handle missing values
Merged pull requests:
- 📝 Improve README (#87) (@EssamWisam)
- Attempt to restructure paper (#91) (@EssamWisam)
- Master (#92) (@EssamWisam)
- Update README.md (#93) (@sylvaticus)
- Allow missing values in matrix inputs for random undersampling and ra… (#94) (@EssamWisam)
- Typofix in smotenc_churn_dataset.md example (#95) (@sylvaticus)
- Update paper and bibtex (#96) (@jbytecode)
- For a 0.1.6 Release (#97) (@EssamWisam)
Closed issues:
v0.1.5
Imbalance v0.1.5
Bug fix: corrected input and output scitypes for SMOTEN and other scitypes in the documentation.
Merged pull requests:
- Fix categorical scitypes (#81) (@EssamWisam)
- For a 0.1.5 release (#82) (@EssamWisam)
Closed issues:
v0.1.4
Imbalance v0.1.4
- Bug fix: corrected input and output scitypes for implemented static models
Merged pull requests:
- 🚑 Fix scitypes for all existing methods (#77) (@EssamWisam)
- For a 0.1.4 Release (#78) (@EssamWisam)
Closed issues:
v0.1.3
Imbalance v0.1.3
Fixed a bug causing issues for Julia 1.10
Merged pull requests:
- 🐛 Fix freezing dict in group_inds #73 (#74) (@EssamWisam)
- For a 0.1.3 release (#75) (@EssamWisam)
Closed issues:
- Add url links to MLJBalancing.jl (#72)
v0.1.2
Imbalance v0.1.2
- Added support for Julia 1.6
- Various documentation improvements
Merged pull requests:
- 🎨 Various documentation improvements (#64) (@EssamWisam)
- 🚑 Bump Julia compat and test v1.7 (#66) (@EssamWisam)
- Update codecov config to relax threshold on change (#67) (@ablaom)
- 📌 Set julia compat to 1.6 (#68) (@EssamWisam)
- For a 0.1.2 release (#69) (@EssamWisam)
Closed issues:
v0.1.1
Imbalance v0.1.1
Added the following resampling algorithms
- Random Walk Oversampling (RWO)
- Borderline SMOTE1
- Random Undersampling
- Cluster Undersampling
- EditedNearestNeighbors Undersampling
- Tomek Links Undersampling
Merged pull requests:
- 🚕 Bring new changes to feat branch (#55) (@EssamWisam)
- Introduce Undersampling Methods (#56) (@EssamWisam)
- Add random walk and borderline SMOTE1 oversampling (#59) (@EssamWisam)
- For 0.1.1 release (#61) (@EssamWisam)
v0.1.0
Imbalance v0.1.0
Initial release of Imbalance.jl
where the following oversampling methods have been implemented, documented and tested.
- Random Oversampling
- Random Oversampling Examples (ROSE)
- Synthetic Minority Oversampling Technique (SMOTE)
- SMOTE-Nominal (SMOTE-N)
- SMOTE-Nominal Categorical (SMOTE-NC)