Metadata-Version: 1.2
Name: fairules
Version: 1.5
Summary: FairCORELS, a modified version of CORELS to build fair and interpretable models
Home-page: https://github.com/aivodji/fairules
Author: Elaine Angelino, Nicholas Larus-Stone, Hongyu Yang, Cythnia Rudin, Vassilios Kaxiras, Margo Seltzer, Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
Author-email: a.u.matchi@gmail.com
License: GNU General Public License v3 (GPLv3)
Download-URL: https://github.com/aivodji/fairules/archive/v1.5.tar.gz
Description: 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.
        
Platform: UNKNOWN
Classifier: Programming Language :: C++
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=2.7
