AIF360
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Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
The ExponentiatedGradientFunction code ran differently for different systems if using CPU on colab. Windows systems could run the code with no issues after installing aif360 with reductions functionality only while...
Towards #385
This PR attempts to address [this issue](https://github.com/Trusted-AI/AIF360/issues/88). Note that generalized selection rate was not added. - equalized odds difference - generalized equalized odds difference Towards #88
Issue 391 Fix - Adding Colab Signed-off-by: SK ### Changes to be committed: ### modified: examples/demo_gerryfair.ipynb ### modified: examples/demo_json_explainers.ipynb ### modified: examples/demo_lfr.ipynb # Closes #391
Addresses 1/4th of https://github.com/Trusted-AI/AIF360/issues/387
Fixed str to int conversion issue Signed-off-by: Padmaja Borwankar
…sers Adding fixes to avoid setup errors for Windows users #372
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A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.