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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