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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Release files for faircorels-demo 1.3
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| File | Size | Uploaded | Provenance | |
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| faircorels-demo-1.3.tar.gz | 121.9 kB | Without provenance | Details |
Release files / faircorels-demo-1.3.tar.gz
| Download URL | faircorels-demo-1.3.tar.gz |
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| Size | 121.9 kB |
| Tags | Source |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.5
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