Factual package intelligence from PyPI

downstream-fairness 0.1.1 package intelligence

A new post-processing fairness algorithm that operates on the output probabilities of a binary classifier

pip install downstream-fairness

Current version
0.1.1
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
27.9 KiB
Release history
3 releases with files
Median release cadence
4 days

downstream-fairness dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2,>=1.19.0
  2. pandas >=1.2.0
  3. POT ==0.9.0
  4. python-dateutil <3,>=2.7
  5. pytz >=2020.1
  6. scipy ~=1.10.1
  7. tzdata ==2020.1

Compatibility and release files

downstream-fairness publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.

Metadata completeness

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

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .