Tag-eval (heads vs centroid) + focus/provenance/layout/sticky-header fixes + tag-gaps cleanup #136

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bvandeusen merged 3 commits from dev into main 2026-06-27 23:03:04 -04:00

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3 Commits

Author	SHA1	Message	Date
bvandeusenandClaude Opus 4.8	6cd7281af5	feat(settings): tag-eval admin card — trigger + persisted report (survives nav) ... Frontend for #1130. A maintenance tile in Settings → Tagging: - Editable concept list + "Run eval" → POST /api/tag-eval (one running at a time). - Rehydrates on mount via the persisted run (getRun by latest id) and polls while running — so the report SURVIVES navigation (operator-flagged); the task runs backend-side regardless and the card reconnects to its row. - Renders the saved report: per-concept head-vs-centroid metrics table (AP/F1/ precision/recall) with Δ AP, the learning curve (AP @ N positives), and thumbnail galleries (head-would-suggest / head-doubts-positive) for eyeballing. Backend: _examples now stores thumbnail_urls (not just ids) so the report is a self-contained artifact that renders without per-id lookups on reload. No new top-level surface — slots into the existing maintenance area. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-27 22:56:41 -04:00
bvandeusenandClaude Opus 4.8	6e3c5f697f	feat(ml): tag-eval backend — head-vs-centroid learning-curve eval (persisted) ... Slice 1 of milestone #114 (tagging v2). Proves the frozen-embedding + trained- head spine on the operator's own data, reusing the SigLIP embeddings already stored on image_record — no re-embedding, no GPU. Per concept: train a logistic-regression HEAD (positives + negatives = explicit rejections + sampled unlabeled) vs the old single-CENTROID baseline; report cross-validated precision/recall/AP for both, a LEARNING CURVE (AP/F1 as tagged positives grow 10→30→100→300), and example image ids (head-would-suggest / head-doubts-positive) to eyeball. Persisted so the report SURVIVES navigation (operator-flagged): the run + full report live in a new tag_eval_run row (mirrors library_audit_run); the admin card will rehydrate from GET on mount, not transient state. - models.TagEvalRun + migration 0056; runs on the ml queue (only worker with numpy/sklearn) — numpy/sklearn lazy-imported so the API can still enqueue. - services/ml/tag_eval (compute + start helper, one-running guard), tasks.ml .tag_eval_run, api/tag-eval (POST create, GET history light / detail w/ report). - recover_stalled_tag_eval_runs sweep + retention (keep last 20) + 5-min beat (rule 89). scikit-learn added to requirements-ml. - tests: param normalization + the rehydrate read-path + create/conflict. Frontend admin card (trigger + render persisted report) follows next. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-27 22:49:10 -04:00
bvandeusenandClaude Opus 4.8	958378312c	fix(settings): sticky headers on the virtual data tables ... Allowlist / Alias / ImportTask tables scroll their bodies (height=360/480) but the column headers scrolled away with the rows, so you lost the column labels (operator-flagged 2026-06-27). Add Vuetify `fixed-header` so the header row stays pinned while the body scrolls. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-06-27 00:54:03 -04:00