Factual package intelligence from PyPI

fair-kmeans-uchicago 0.1.3 package intelligence

A Fair K-Means clustering algorithm with fairness constraints.

pip install fair-kmeans-uchicago

Current version
0.1.3
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.7 KiB
Release history
4 releases with files
Median release cadence
0 days

fair-kmeans-uchicago dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. pandas
  3. scikit-learn
  4. matplotlib
  5. openai ==0.28.0

Compatibility and release files

fair-kmeans-uchicago publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .