Commit History
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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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Duplicate from batteryswapaichallenge/BatterySwapAI2026-Example
Co-authored-by: Jon Nordby <jonnor@users.noreply.huggingface.co>fe26a1a
