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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
faircorels-demo-1.3.tar.gz
(121.9 kB
view details)
File details
Details for the file faircorels-demo-1.3.tar.gz.
File metadata
- Download URL: faircorels-demo-1.3.tar.gz
- Upload date:
- Size: 121.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
133bdee17b12625e6b420eec5707bc967e6e95964ff11e6617540dbca98a9402
|
|
| MD5 |
94ea7ae2857079fbf919c9afced6d438
|
|
| BLAKE2b-256 |
d17e3b3a43aa484ee6bd8ab8facb6f425cbe5d9a854a2b94862999efd42b0559
|