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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 |
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 |
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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.
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