FairCORELS, a modified version of CORELS to build fair and interpretable models
Welcome to FairCorels, a Python library for learning fair and interpretable models using the Certifiably Optimal RulE ListS (CORELS) algorithm!
FairCORELS uses Python, Numpy, GMP, and a C++ compiler. GMP (GNU Multiple Precision library) is not required, but it is highly recommended, as it improves performance. If it is not installed, CORELS will run slower.
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|Filename, size & hash||File type||Python version||Upload date|
|faircorels-demo-1.3.tar.gz (121.9 kB) View hashes||Source||None|