Verdict eval engine: judge, drift detection, Bradley-Terry comparator, regression injector
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Verdict Eval
PyPI distribution: cognifity-verdict-eval. Python import: verdict_eval.
The Verdict eval engine. LLM-as-judge with binary rubric, intent clustering, non-parametric drift detection per cluster per dimension (Fisher's exact test for binary PASS/FAIL dimensions, Mann-Whitney U for continuous metrics), Bradley-Terry pairwise comparator for cross-LLM evaluation, and a synthetic regression injector for verifying the pipeline catches what it should.
from verdict_eval import Judge, DEFAULT_RUBRIC, DriftDetector, CorruptionInjector
See the repository README, ADR-002, and the verification scripts.
Apache 2.0.
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