Factual package intelligence from PyPI

fair-seldonian 3.0.0 package intelligence

Fairness-constrained machine learning using Seldonian algorithms with confidence bound optimizations

pip install fair-seldonian

Current version
3.0.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
61.8 KiB
Release history
4 releases with files
Median release cadence
4 days

fair-seldonian dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.23 when python_version < "3.14"
  2. numpy >=2.3.2 when python_version >= "3.14"
  3. pandas >=1.5 when python_version < "3.14"
  4. pandas >=2.3.3 when python_version >= "3.14"
  5. scikit-learn >=1.2 when python_version < "3.14"
  6. scikit-learn >=1.8.0 when python_version >= "3.14"
  7. scipy >=1.10 when python_version < "3.14"
  8. scipy >=1.16.1 when python_version >= "3.14"
  9. torch >=2.0 when python_version < "3.14"
  10. torch >=2.9.0 when python_version >= "3.14"

The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

fair-seldonian publishes 1 wheel and 1 source archive for version 3.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Security snapshot for fair-seldonian 3.0.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .