equialgo/fairness-in-ml

Classifier is trained on full dataset during third phase in Keras code, but single batch in PyTorch code

HabibAouani opened this issue · 0 comments

Hello Team/equialgo;

Thank you first of all for your very interesting article and implementations.

I have some questions please:

  1. while during the third phase, Keras code is training the classifier in the whole dataset, but not in the Pytorch code ?
  2. Why have you changed later on towards this "whole dataset training" for the unfair classifier ?
  3. Let's say we have a classification of gender, that is unfair, that we want to make fair against origins. Is this technique working on CNN models ? i've started in implementation on CNNs, but still want to confirm I'm on the right direction :).

Thank you very much !
Habib