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mlr3fairness: Fairness Auditing and Debiasing for 'mlr3'
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.
Getting started
Browse package contents
Package details |
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| Author | Florian Pfisterer [cre, aut] (<https://orcid.org/0000-0001-8867-762X>), Wei Siyi [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>) |
| Maintainer | Florian Pfisterer <pfistererf@googlemail.com> |
| License | LGPL-3 |
| Version | 0.3.2 |
| URL | https://mlr3fairness.mlr-org.com https://github.com/mlr-org/mlr3fairness |
| Package repository | View on CRAN |
| Installation |
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