![]() Other files are "sanitized" versions with some of the columns removed (because considered useless are not used at all by Propublica). In the csv subfolder are the data sample from Propublica for both predicting recidives and violent recidives (compas-scores-two-years*.csv). Inside are subfolders defined by file extensions. More info can be found in the paper » What can be found in this repo? Our framework uses a Feeder and an adversarial Reader. We support 3 datasets that are in the repo, with the parameter:įor the settings of the hyper-parameters, we refer to our paper. $ python main.py -epochs 50 -grl-lambda 50 -batch-size 128 -attack-size 10 -dataset compas -iterations 50 -save-dir. ![]()
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