Quantify the algorithmic fairness and fix potential unfairness of an ML model.
Project description
cai-causal-fairness: Causal Fairness
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
File details
Details for the file cai_causal_fairness-0.0.0.tar.gz.
File metadata
- Download URL: cai_causal_fairness-0.0.0.tar.gz
- Upload date:
- Size: 1.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.1 CPython/3.8.16 Darwin/21.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a24d4a2f5000f430399366042e698354574148a37839a24ee9ecf1397f905d9d |
|
| MD5 | 82241a28b860f6c7b97f5cacf0ac954f |
|
| BLAKE2b-256 | 4830395c03dc5288eb89b1b29ec2e74db47da9d9c114d129998db298d66c691b |
File details
Details for the file cai_causal_fairness-0.0.0-py3-none-any.whl.
File metadata
- Download URL: cai_causal_fairness-0.0.0-py3-none-any.whl
- Upload date:
- Size: 1.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.1 CPython/3.8.16 Darwin/21.6.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 479c605bab45ca2678289c600c31d544e35531d96f285bada489e51418f838b1 |
|
| MD5 | 2cd9825abb9c63459c6e8d52503cf1d8 |
|
| BLAKE2b-256 | 9a90022a32949a91090a03a591612f5b2026880cd068f0af7686abc46fe18e49 |
