Explore your AI model's fairness
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fair_mango-0.2.2.tar.gz.
File metadata
- Download URL: fair_mango-0.2.2.tar.gz
- Upload date:
- Size: 25.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
64dffa9e322ad9b794501c2de74ee6b70216ba06d84a422803eff58fed4bfd16
|
|
| MD5 |
0643d45cbb731602b353867cef928421
|
|
| BLAKE2b-256 |
4d608b5f3650c242c6cca7b7e06eee5ffa70541ab29396483ce90baa498ee27e
|
Provenance
The following attestation bundles were made for fair_mango-0.2.2.tar.gz:
Publisher:
release.yml on datategy/Fair-Mango
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
fair_mango-0.2.2.tar.gz -
Subject digest:
64dffa9e322ad9b794501c2de74ee6b70216ba06d84a422803eff58fed4bfd16 - Sigstore transparency entry: 941352327
- Sigstore integration time:
-
Permalink:
datategy/Fair-Mango@e0728c0b273de3fcc1d5fa5d3e1b91bcb6a11732 -
Branch / Tag:
refs/tags/v0.2.2 - Owner: https://github.com/datategy
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@e0728c0b273de3fcc1d5fa5d3e1b91bcb6a11732 -
Trigger Event:
push
-
Statement type:
File details
Details for the file fair_mango-0.2.2-py3-none-any.whl.
File metadata
- Download URL: fair_mango-0.2.2-py3-none-any.whl
- Upload date:
- Size: 27.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0af068775bc9df365c823b3332450aede1d6332156923b09eca4d84284d24db1
|
|
| MD5 |
42f71709c8220dd275621606b1293514
|
|
| BLAKE2b-256 |
6e310cb7db9054692b9bce6a3aee2f03fa9479f656026b4dadfaf746b2d99f64
|
Provenance
The following attestation bundles were made for fair_mango-0.2.2-py3-none-any.whl:
Publisher:
release.yml on datategy/Fair-Mango
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
fair_mango-0.2.2-py3-none-any.whl -
Subject digest:
0af068775bc9df365c823b3332450aede1d6332156923b09eca4d84284d24db1 - Sigstore transparency entry: 941352350
- Sigstore integration time:
-
Permalink:
datategy/Fair-Mango@e0728c0b273de3fcc1d5fa5d3e1b91bcb6a11732 -
Branch / Tag:
refs/tags/v0.2.2 - Owner: https://github.com/datategy
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@e0728c0b273de3fcc1d5fa5d3e1b91bcb6a11732 -
Trigger Event:
push
-
Statement type:
