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DeepHealth/evaluate_token_auc.py

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Add training scripts for all-future and next-step supervision with DeepHealth - Implement `train_all_future.py` for training with query-conditioned all-future supervision. - Implement `train_next_step.py` for training with next-token/next-time-point supervision. - Introduce `train_util.py` for shared utility functions including logging, dataset splitting, and model checkpointing. - Enhance argument parsing for both training scripts to accommodate new parameters. - Update loss functions and model configurations to support the new training paradigms.
2026-06-13 11:42:04 +08:00
from __future__ import annotations
from evaluate_auc import main
if __name__ == "__main__":
main()
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