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 [cre, aut], Wei Siyi [aut], Michel Lang [aut] 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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