The 'AI Fairness 360' <https://aif360.mybluemix.net/> toolkit is an open-source library to help detect and mitigate bias in machine learning models. The AI Fairness 360 R package includes a comprehensive set of metrics for datasets and models to test for biases, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
| Version: | 0.1.0 |
| Imports: | reticulate, rstudioapi |
| Suggests: | testthat |
| Published: | 2020-06-23 |
| Author: | Gabriela de Queiroz [aut], Stacey Ronaghan [aut], Saishruthi Swaminathan [aut, cre] |
| Maintainer: | Saishruthi Swaminathan <saishruthi.tn at ibm.com> |
| BugReports: | https://github.com/IBM/AIF360/issues |
| License: | Apache License (≥ 2.0) |
| URL: | https://github.com/IBM/AIF360/tree/master/aif360/aif360-r |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | aif360 results |
| Reference manual: | aif360.pdf |
| Package source: | aif360_0.1.0.tar.gz |
| Windows binaries: | r-devel: aif360_0.1.0.zip, r-release: aif360_0.1.0.zip, r-oldrel: aif360_0.1.0.zip |
| macOS binaries: | r-release (arm64): aif360_0.1.0.tgz, r-oldrel (arm64): aif360_0.1.0.tgz, r-release (x86_64): aif360_0.1.0.tgz, r-oldrel (x86_64): aif360_0.1.0.tgz |
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