Thibaut Forest
Claude Opus 5 (1M context)
Phase 56: NEW CHAMPION logbag_rank + gbm rank-blend w=0.30 (purge 1630.3, was 1972.0)
698401a | # Purge-CV re-run — live agent reports (2026-08-22) | |
| Full re-adjudication of every improvement idea (old and new, including | |
| previously public-refuted axes, per user directive) on THE SCORE: | |
| the temporal-purge CV (`cv all48oof`), champion baseline **1972.0** | |
| (warmup 3560.3 / panel 1839.6 / nearend 604.8, n_swaps 9.2). | |
| Every candidate is evaluated PAIRED per scenario against the champion | |
| baseline (/tmp/cv_all48oof.csv): delta mean, SE of paired deltas, W/L, | |
| swap count. Survivor bar: ALL48 delta < 0 beyond ~2*SE with swaps ~flat. | |
| One file per worker (updated live by that worker only): | |
| | file | theme | | |
| |---|---| | |
| | wave1_registry.md | mechanical re-run of all 25 OOF_CANDIDATES registry entries + champion-repeat noise floor | | |
| | ft_findings.md | new feature engineering | | |
| | md_findings.md | model families & hyperparameters | | |
| | pl_findings.md | planner: knobs, day placement, appetite (reopened) | | |
| | bl_findings.md | blends, ensembles, calibration | | |
| | tr_findings.md | training-data composition: weights, labels, sampling | | |
| | rk_findings.md | learning-to-rank objectives | | |
| | wd_findings.md | untested registry kinds + wild-card methods, cert-first (reopened) | | |
| | tj_findings.md | RADICAL: voltage-trajectory forecasting, mechanistic death-rule application | | |
| | sv_findings.md | RADICAL: survival curves + decision-theoretic visit-day planner | | |
| | e2_findings.md | RADICAL: end-to-end plan optimization, fleet-level death forecasting | | |
| Per-candidate CSVs: /tmp/cv_oofcand_<label>.csv. Aggregate view: | |
| `venv/bin/python -m batteryswap_example.cv oofreport`. | |