Factual package intelligence from PyPI

insurance-fairness-ldp 0.1.1 package intelligence

Local Differential Privacy for discrimination-free insurance pricing. Implements the Zhang/Liu/Shi (2025) correction matrix framework — the insurer never sees the true sensitive attribute.

pip install insurance-fairness-ldp

Current version
0.1.1
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
186.3 KiB
Release history
2 releases with files
Median release cadence
4 days

insurance-fairness-ldp dependencies

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

  1. numpy >=1.24.0
  2. polars >=1.0.0
  3. scikit-learn >=1.3.0
  4. scipy >=1.11.0

Compatibility and release files

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

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .