bvandeusen 625336b6b4 feat(ccip): tunable match threshold, default 0.85 (#114) ...

Live data showed the v1 flat 0.75 cosine over-fired — ~64% of matched images got
3-10 character guesses dominated by the most-referenced characters (a 27-ref
character clears a low bar on many images). A sweep showed 0.85 collapses the
noise (noisy multi-matches 47→3) while keeping the confident single-character
matches.

- ml_settings.ccip_match_threshold (migration 0063, default 0.85); match_image
  reads it (override still accepted). DEFAULT_SIM_THRESHOLD fallback 0.75→0.85.
- Exposed in GET/PATCH /api/ml/settings (validated 0.5–0.999).
- Slider in the GPU agent card ("Character-match strictness") — tune live, no
  redeploy, same observe-and-tune loop as auto-apply.

Test: a ~0.9-cosine figure matches at 0.85, dropped at 0.95.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

2026-06-29 20:41:09 -04:00

..

versions

feat(ccip): tunable match threshold, default 0.85 (#114)

2026-06-29 20:41:09 -04:00

env.py

fix(alembic): lock_timeout on migrations, drop the advisory lock

2026-06-07 23:58:14 -04:00

script.py.mako

feat: add SQLAlchemy declarative base, Alembic environment, and gitignore fix

2026-05-14 07:32:58 -04:00