fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation

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: 0.2.2
Depends: R (≥ 3.5)
Imports: DALEX, ggplot2, patchwork, ggdendro, ggrepel, scales
Suggests: ranger, gbm, knitr, rmarkdown, covr, testthat, spelling
Published: 2020-09-21
Author: Jakub Wiśniewski [aut, cre], Przemysław Biecek ORCID iD [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

Downloads:

Reference manual: fairmodels.pdf
Vignettes: Advanced tutorial
Basic tutorial
Package source: fairmodels_0.2.2.tar.gz
Windows binaries: r-devel: fairmodels_0.2.2.zip, r-release: fairmodels_0.2.2.zip, r-oldrel: fairmodels_0.2.2.zip
macOS binaries: r-release: fairmodels_0.2.2.tgz, r-oldrel: fairmodels_0.2.2.tgz
Old sources: fairmodels archive

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