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Fairshift Lab v0.2.0

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@lindgreendavid lindgreendavid released this 12 Aug 10:31
· 15 commits to main since this release
v0.2.0
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Learn about vigilant mode.

Fairshift Lab v0.2.0 turns distribution-shift auditing into an uncertainty-aware, interactive research laboratory.

Highlights

  • Group-stratified percentile-bootstrap intervals
  • Interactive covariate, concept, and prevalence-shift experiments
  • Accessible source-to-target visual comparisons
  • Explicit interpretation limits and a primary-source research trail
  • 29 deterministic Python tests with 100% statement and branch coverage
  • Production web build tests and CodeQL for Python and JavaScript/TypeScript

The synthetic laboratory is educational and methodological infrastructure, not a fairness certificate or evidence about a real population.

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