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 fairules 1.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fairules-1.6.tar.gz | 121.4 kB | Without provenance | Details |
Release files / fairules-1.6.tar.gz
| Download URL | fairules-1.6.tar.gz |
|---|---|
| Size | 121.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
9088a7f433cfa9be1314f252a6d04c17c5efeabc9b426c0df7131256ddeff4e7
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BLAKE2b-256 checksum How to use checksums |
4b4d11c22fd99aa8554ac6b5991e802436cd3f9b821a14705d2f824d47eb29ac
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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/3.6.8
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Security for fairules 1.6
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