Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as "Reweighing" described in 'Kamiran, Calders' (2012) <doi:10.1007/s10115-011-0463-8> and "Equalized Odds" described in 'Hardt et al.' (2016) <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>. Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of machine learning algorithms and debiasing methods.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | checkmate,data.table (≥ 1.13.6),ggplot2,mlr3 (≥0.23.0.9000),mlr3learners,mlr3measures,mlr3misc,mlr3pipelines,paradox,R6 (≥ 2.4.1),rlang |
| Suggests: | cccp,CVXR,pagedown,fairml,future,iml,kableExtra,knitr,linprog,lgr,mlr3viz,patchwork,ranger,rmarkdown,rpart,testthat (≥ 3.1.0) |
| Published: | 2025-06-24 |
| DOI: | 10.32614/CRAN.package.mlr3fairness |
| Author: | Florian Pfisterer |
| Maintainer: | Florian Pfisterer <pfistererf at googlemail.com> |
| BugReports: | https://github.com/mlr-org/mlr3fairness/issues |
| License: | LGPL-3 |
| URL: | https://mlr3fairness.mlr-org.com,https://github.com/mlr-org/mlr3fairness |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | mlr3fairness results |
| Reference manual: | mlr3fairness.html ,mlr3fairness.pdf |
| Vignettes: | Debiasing Methods (source,R code) Fairness Metrics (source,R code) Reports (source,R code) Fairness Visualizations (source,R code) |
| Package source: | mlr3fairness_0.4.0.tar.gz |
| Windows binaries: | r-devel:mlr3fairness_0.4.0.zip, r-release:mlr3fairness_0.4.0.zip, r-oldrel:mlr3fairness_0.4.0.zip |
| macOS binaries: | r-release (arm64):mlr3fairness_0.4.0.tgz, r-oldrel (arm64):mlr3fairness_0.4.0.tgz, r-release (x86_64):mlr3fairness_0.4.0.tgz, r-oldrel (x86_64):mlr3fairness_0.4.0.tgz |
| Old sources: | mlr3fairness archive |
| Reverse suggests: | mlr3summary,mlr3verse |
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