Explore your AI model's fairness
Project description
Fair Mango
Fair Mango is a Python package that helps developers evaluate their model's performance and fairness across different groups.
Supported Fairness Metrics
- Demographic Parity / Statistical Parity
- Disparate Impact
- Equalised Odds
- Equality of Opportunity
- Predictive Rate Parity
- Group Benefit Disparity
- False Positive Rate
- False Negative Rate
- True Positive Rate / Sensitivity
- True Negative Rate / specificity
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
fair_mango-0.1.1.tar.gz
(14.8 kB
view details)
Built Distribution
File details
Details for the file fair_mango-0.1.1.tar.gz.
File metadata
- Download URL: fair_mango-0.1.1.tar.gz
- Upload date:
- Size: 14.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 753849d16f23c38d6c9c5ecccee49ab03607dd76e76ba8f2c61a1782935fe30e |
|
| MD5 | 931e249558aeba26c39a162972635015 |
|
| BLAKE2b-256 | b14ea419237f6358b6c340035275623c1836d1d403c9c77b384b1a0f6dc8b00d |
File details
Details for the file fair_mango-0.1.1-py3-none-any.whl.
File metadata
- Download URL: fair_mango-0.1.1-py3-none-any.whl
- Upload date:
- Size: 16.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b173f50289f3bb7cd7cc3cbd092f4bbec9e509bdd237a2df23b466b9a0243ec4 |
|
| MD5 | b0b93ae27042313b0eba41186303e6ac |
|
| BLAKE2b-256 | b4f64312a60c905ebb4c838fba51f52105398435ab851e363f3caa0dd3a533c5 |
