[aut]Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented.
| Version: | 0.2.4 |
| Depends: | R (≥ 3.5) |
| Imports: | DALEX, ggplot2, patchwork, ggdendro, ggrepel, scales |
| Suggests: | ranger, gbm, knitr, rmarkdown, covr, testthat, spelling |
| Published: | 2020-12-12 |
| Author: | Jakub Wiśniewski [aut, cre],
Przemysław Biecek
[aut] |
| Maintainer: | Jakub Wiśniewski <jakwisn at gmail.com> |
| BugReports: | https://github.com/ModelOriented/fairmodels/issues |
| License: | GPL-3 |
| URL: | https://modeloriented.github.io/fairmodels/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | fairmodels results |
| Reference manual: | fairmodels.pdf |
| Vignettes: |
Advanced tutorial Basic tutorial |
| Package source: | fairmodels_0.2.4.tar.gz |
| Windows binaries: | r-devel: fairmodels_0.2.4.zip, r-release: fairmodels_0.2.4.zip, r-oldrel: fairmodels_0.2.4.zip |
| macOS binaries: | r-release: fairmodels_0.2.4.tgz, r-oldrel: fairmodels_0.2.4.tgz |
| Old sources: | fairmodels archive |
| Reverse imports: | arenar |
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