Commit History
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Phase 11: price-adaptive break-even top-up (fresh-only, m0.8/pm25) + two-sided cost-curve fix
Thibaut Forest +1: Claude Opus 5 (1M context)Panel 1702.0 vs 1715.8, 63% random-split selection, never beaten in a decided blocked split. All-48 Docker metric 2175.4 (was 2202). Includes user's phase-10 CohortGate + merged-block protocol write-up. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>4fb1dc8 -
Adaptive runtime submission: per-scenario refits, bagging, stronger routing
Thibaut Forest +1: Claude Opus 5 (1M context)Uses the 30-minute runtime budget instead of a static pickle: - submit.py: refits the model at every scenario origin on the target split's own history pooled with packaged train features, with labels self-masked to windows closed before each origin (assertion-enforced; never reads future eol_times). Time-budget + mid-split deadline guards fall back to the static pickle per split. - logbag model: 15-fold bagged logistic (dev 2126 -> 2074, test 1440 -> 1398) - stronger routing search: merge moves + restarts, and within-day visits now sorted by building/room (the evaluator pays repeated building changes for interleaved rows) - tau_projected feature: master-curve inversion minus staleness, targeting devices that go dark and keep discharging (test 1476 -> 1439) - synthetic training origins every 4 days back to Feb-2025 (2.7x positives) Walk-forward: dev 2074, test 1398, honest all-48 train metric 2202 with mobility+limits at 242 vs current leaderboard leader's 280. Runtime: 2…fc9c286
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Logistic RUL model with adaptive top-sum planner (walk-forward CV selected)
Thibaut Forest +1: Claude Opus 5 (1M context)- features.py: cached (device, origin) feature table; leak-free per-origin slicing - models_cv.py: walk-forward CV harness; logistic/GBM/AFT/rank models, threshold/topsum/batching planners; dev s_8-s_23, test s_24-s_41 - planner.py: final TopSumPlanner (logistic p42, N = 0.8 * sum(p42), q05 day placement, building batching); refit on all closed windows - harness.py: baseline comparisons (defer-all, lowest-voltage-k, oracle) - best.pickle trained inside the competition Docker image (sklearn 1.7.2) to avoid version skew; verified via script.py + metric in the image Test-block walk-forward mean total_cost 1368 (voltage-15 2034, defer 2512, oracle 186); train split via official metric: 2150 vs 8673 for the example. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>b89e779 -
BatterySwapAI submission 001: test
Thibaut Forest6d45918 -
Duplicate from batteryswapaichallenge/BatterySwapAI2026-Example
Co-authored-by: Jon Nordby <jonnor@users.noreply.huggingface.co>fe26a1a
