2 Commits

Include renames

Author	SHA1	Message	Date
bvandeusenandClaude Opus 5.5	ff70f837d0	refactor: test row factories and the fetch stub have one copy each (3109) ... tests/factories.py holds image_row/make_image/make_image_async/make_tag. The 17 byte-identical _img/_tag helpers (15 modules) now import them under their old names, so no call site changed. frontend/test/support/stubFetch.js replaces 15 copies that differed only in formatting. Copies whose bodies differ (other defaults, other columns, a url-only stub) are left as they are; folding those needs a look at each caller. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LVjrnpQjRgHdvq95rASoiR	2026-09-24 16:39:38 -04:00
bvandeusenandClaude Opus 4.8	2cfbb284d5	feat(heads): incremental retraining — refit only changed tags (#1317 phase 2, m138) ... train_all_heads is now incremental by default: a per-tag training-data fingerprint (positive + rejection count/latest-timestamp, stored on tag_head.train_fingerprint) means a manual Retrain refits ONLY the tags whose data changed — O(what you touched), not O(all heads). The nightly scheduled_train_heads passes full=True to reconcile sampled-negative + hygiene drift across every head. First incremental run after deploy still refits everyone (NULL fingerprints), stamping them, then it's incremental. The refit decision + fingerprint are split into sklearn-free helpers (_head_fingerprints, _heads_needing_retrain) so the incremental logic is unit-tested directly (train_head itself needs scikit-learn). Migration 0080. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM	2026-07-06 16:36:30 -04:00