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examples/yaib_mimic4_unified_mlp.py trains Unified_MLP (default) or, with --model logistic_regression, Unified_LogisticRegression on each of the five YAIB MIMIC-IV tasks and writes checkpoints, logs, the configuration and test metrics. --check verifies the data files and the device without preprocessing or training.
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Seventh PR in the stack toward a unified sequence representation, on top of #1355. Example only; no library changes.
examples/yaib_mimic4_mlp_v2.pytrainsMLP_V2(the default) orLogisticRegression_V2(--model logistic_regression) on each of the five YAIB MIMIC-IV tasks. It follows the same split, preflight, training, checkpoint and reporting flow as theRNN_V2example.