Factual package intelligence from PyPI

inFairness 0.2.3 package intelligence

inFairness is a Python package to train and audit individually fair PyTorch models

pip install infairness

Current version
0.2.3
Python requirement
>=3.7
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
78.2 KiB
Release history
5 releases with files
Median release cadence
43 days

inFairness dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.6
  2. pandas >=1.3.5
  3. POT >=0.8.0
  4. scikit-learn >=0.24.2
  5. scipy >=1.5.4
  6. torch >=1.13.0

Compatibility and release files

inFairness publishes 1 wheel and 1 source archive for version 0.2.3. 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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .