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aif360: Help Detect and Mitigate Bias in Machine Learning Models
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.
Getting started
Browse package contents
Package details |
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| Author | Gabriela de Queiroz [aut], Stacey Ronaghan [aut], Saishruthi Swaminathan [aut, cre] |
| Maintainer | Saishruthi Swaminathan <saishruthi.tn@ibm.com> |
| License | Apache License (>= 2.0) |
| Version | 0.1.0 |
| URL | https://github.com/IBM/AIF360/tree/master/aif360/aif360-r |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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