Fairshift Lab v0.1.0
Reproducible baseline
This initial research release establishes a transparent laboratory for evaluating model performance and group-fairness measurements under controlled covariate, concept, and protected-group prevalence shifts.
Included
- documented structural synthetic generator
- inspectable logistic-regression baseline
- accuracy, AUROC, demographic parity, equal opportunity, and equalized odds metrics
- deterministic JSON experiment CLI
- research protocol, methodology, Data Card, Model Card, ADR, and citation metadata
- 24 tests with 100% statement and branch coverage
- linting, strict typing, package build, CI, CodeQL, and Dependabot
Responsible-use boundary
This release is for research scaffolding and education. It is not suitable for decisions about people, legal-compliance certification, or claims about real demographic groups.