themis-ml
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cosmicBboy
A library that implements fairness-aware machine learning algorithms
ACF algo
Hi I am trying to implement ACF also for fairness, but I am getting the following error: index %s is not in continuous_index_ or binary_index_
- Minority vs Majority not Minority vs Race, or Race vs Majority.
Implement the architecture as described in this post: https://blog.godatadriven.com/fairness-in-ml
These classes are currently lacking in documentation
Need to add stuff to `conf.py` http://www.sphinx-doc.org/en/1.5.1/config.html
Tables can be found here: https://www.bls.gov/cps/cpswktabs.htm
The purpose of this issue is to add support for stratified mean difference and normalized mean difference so that we can control for other explanatory (or confounding) factors that may...
DAEC is like #10, with a similar relabelling rule as ROC but re-assigns any prediction where classifiers disagree on the predicted label. For example, if the an observation was positively...
PRR as an optimization technique that extends the standard L1/L2-norm regularization method by adding a prejudice index term to the objective function. This term is equivalent to normalized mutual information,...
Sampling is composed of two methods: # Uniform Sampling - uniformly sample (with replacement) `n` observations from each group, where `n` is the expected size of that group assuming a...
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A library that implements fairness-aware machine learning algorithms