Quantify the algorithmic fairness and fix potential unfairness of an ML model.
Project description
cai-causal-fairness: Causal Fairness
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for cai_causal_fairness-0.0.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a24d4a2f5000f430399366042e698354574148a37839a24ee9ecf1397f905d9d |
|
MD5 | 82241a28b860f6c7b97f5cacf0ac954f |
|
BLAKE2b-256 | 4830395c03dc5288eb89b1b29ec2e74db47da9d9c114d129998db298d66c691b |
Close
Hashes for cai_causal_fairness-0.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 479c605bab45ca2678289c600c31d544e35531d96f285bada489e51418f838b1 |
|
MD5 | 2cd9825abb9c63459c6e8d52503cf1d8 |
|
BLAKE2b-256 | 9a90022a32949a91090a03a591612f5b2026880cd068f0af7686abc46fe18e49 |