Releases: ashryaagr/Fairness.jl
Releases · ashryaagr/Fairness.jl
v0.3.2
Fairness v0.3.2
Merged pull requests:
- CompatHelper: add new compat entry for "Downloads" at version "1.4" (#62) (@github-actions[bot])
- CompatHelper: bump compat for "MLJBase" to "0.18" (#63) (@github-actions[bot])
- Added Calibrated Equalised Odds Wrapper. (#64) (@samurai-kant)
- CompatHelper: bump compat for "MLJModelInterface" to "1.0" (#65) (@github-actions[bot])
- CompatHelper: bump compat for "DataFrames" to "1.0" (#66) (@github-actions[bot])
- CompatHelper: bump compat for "CategoricalArrays" to "0.10" (#67) (@github-actions[bot])
v0.3.1
Fairness v0.3.1
Merged pull requests:
- CompatHelper: bump compat for "MLJBase" to "0.17" (#60) (@github-actions[bot])
v0.3.0
Fairness v0.3.0
v0.2.0
Fairness v0.2.0
Merged pull requests:
- Synthetic data (#42) (@pfistfl)
- Update README.md (#43) (@vollmersj)
- Synthetic data (#44) (@pfistfl)
- CompatHelper: bump compat for "GLPK" to "0.14" (#45) (@github-actions[bot])
- fix errror in subgroupData (#46) (@pfistfl)
- Change postprocessing structs subtyping (#47) (@jademackay)
- Update fair-split branch (#49) (@ashryaagr)
v0.1.3
Fairness v0.1.3
- Bank Marketing, Communities Crime, Student Performance Datasets
- Benchmarking pipeline and Disparate Impact metric
- fix for mach() deprecation in MLJ
- Windows support and appveyor testing
- MacOS testing using travis
Merged pull requests:
- added Literate example from next journal (#38) (@vollmersj)
- CompatHelper: bump compat for "MLJModels" to "0.12" (#39) (@github-actions[bot])
- CompatHelper: bump compat for "MLJBase" to "0.15" (#40) (@github-actions[bot])
- CompatHelper: add new compat entry for "ZipFile" at version "0.9" (#41) (@github-actions[bot])
v0.1.2
Fairness v0.1.2
- First Inprocessing Algorithm PenaltyWrapper Added.
- Performance enhancements through:
- Fairness Tensor made immutable
- Fairness Algorithm Wrappers made immutable
- LinProgWrapper modified to support immutable FairTensor
- setindex for FairTensor added
v0.1.1
Fairness v0.1.1
First Official Release of Fairness.jl
Changes
- Fixed LinProgWrapper algorithm (The generalized Equalized Odds)
- Added
accuracy
metric - Silenced warnings in Adult Dataset macro
- Bug fix in Metric Wrapper
- Disparity integrated with
MLJ.evaluate
v0.1.0
Fairness v0.1.0
First Release of Fairness.jl
It has Datasets, Metrics, Algorithms, and integration with MLJ.
The package has been extensively documented and has Comprehensive test coverage.
Merged pull requests:
- Update calcmetrics.jl (#4) (@vollmersj)
- Add COMPAS and Adult dataset. (#6) (@Faldict)
- Added clean! and target scitypes for fairness algorithm-wrappers (#7) (@ashryaagr)
- Support for general targets (#8) (@ashryaagr)