Thibaut Forest
Adaptive runtime submission: per-scenario refits, bagging, stronger routing
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print('import start')
# Adaptive submission: refits the RUL model at every scenario origin on the
# target split's own (self-masked) history. Falls back internally to the static
# pickled planner in batteryswap_example/planners/best.pickle per split.
# ensure classes referenced by the fallback pickle are importable
from batteryswap_example.train import * # noqa: F401,F403
from batteryswap_example import planner # noqa: F401
from batteryswap_example.submit import main
if __name__ == '__main__':
print('main start')
main()