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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: | 0.3.2 |
Depends: | R (≥ 3.4.0) |
Imports: | checkmate, R6 (≥ 2.4.1), data.table (≥ 1.13.6), paradox, mlr3 (≥ 0.13.0), mlr3measures, mlr3misc, mlr3pipelines, mlr3learners, rlang, ggplot2 |
Suggests: | testthat (≥ 3.1.0), patchwork, rpart, ranger, mlr3viz, linprog, rmarkdown, knitr, posterdown, kableExtra, fairml, iml |
Published: | 2023-05-04 |
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 results |
Reference manual: | mlr3fairness.pdf |
Vignettes: |
Debiasing Methods Fairness Metrics Reports Fairness Visualizations |
Package source: | mlr3fairness_0.3.2.tar.gz |
Windows binaries: | r-devel: mlr3fairness_0.3.2.zip, r-release: mlr3fairness_0.3.2.zip, r-oldrel: mlr3fairness_0.3.2.zip |
macOS binaries: | r-release (arm64): mlr3fairness_0.3.2.tgz, r-oldrel (arm64): mlr3fairness_0.3.2.tgz, r-release (x86_64): mlr3fairness_0.3.2.tgz, r-oldrel (x86_64): mlr3fairness_0.3.2.tgz |
Old sources: | mlr3fairness archive |
Reverse suggests: | mlr3summary |
Please use the canonical form https://CRAN.R-project.org/package=mlr3fairness to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.