fairml: Fair Models in Machine Learning

Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>.

Version: 0.3
Depends: R (≥ 3.5.0)
Imports: methods, optiSolve
Suggests: lattice
Published: 2020-09-09
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <marco.scutari at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: fairml results


Reference manual: fairml.pdf
Package source: fairml_0.3.tar.gz
Windows binaries: r-devel: fairml_0.3.zip, r-release: fairml_0.3.zip, r-oldrel: fairml_0.3.zip
macOS binaries: r-release: fairml_0.3.tgz, r-oldrel: fairml_0.3.tgz
Old sources: fairml archive


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