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.
Binder is a project that allows us to run notebooks in a reprodubile/reusable manner by hosting notebooks along with its environmental requirements in a live jupyterhub server allowing anyone to be able to run notebooks without worrying about differences in setup etc.
Binder is a project that allows us to run notebooks in a reprodubile/reusable manner by hosting notebooks along with its environmental requirements in a live jupyterhub server allowing anyone to be able to run notebooks without worrying about differences in setup etc.
Enable the following to run on Binder:
[ ] demo_optim_preproc_adult.ipynb
[ ] demo_reject_option_classification.ipynb
[ ] demo_reweighing_preproc.ipynb
[ ] demo_short_gerryfair_test.ipynb