Factual package intelligence from PyPI

mmm-fair 2.4.1 package intelligence

A multi-objective multi-fairness boosting classifier

pip install mmm-fair

Current version
2.4.1
Python requirement
>=3.11
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
857.1 KiB
Release history
30 releases with files
Median release cadence
1 days

mmm-fair dependencies

PyPI declares 33 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.4
  2. six >=1.16.0
  3. pymoo >=0.6.1.3
  4. scikit-learn ==1.7.2
  5. ucimlrepo
  6. pandas >=2.2.3
  7. fairbench
  8. skl2onnx ==1.17.0
  9. tqdm
  10. plotly
  11. onnx ==1.17.0
  12. onnxruntime
  13. fairlearn
  14. rich
  15. Flask
  16. Flask-Session
  17. python-dotenv
  18. bs4

The compact report shows 25 of 33 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mmm-fair publishes 1 wheel and 1 source archive for version 2.4.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 30 releases with files. The first dated release is ; 30 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .