CLI wraps PerceptionTrainer + MultiHorizonLoader for end-to-end
training. Per-epoch loop:
- train: stream sequences from MultiHorizonLoader, step per
position with reset_hidden_state (K=1 BPTT), accumulate train
loss
- val: separate loader on disjoint seed, accumulate (probs,
labels) per horizon, compute Mann-Whitney U AUC
Emits alpha_train_summary.json with final train loss + per-horizon
val AUC for downstream gate consumption.
Adds PerceptionTrainer::last_probs() — slow-path readback of the
most recent forward's probs. Used by the eval loop to capture
per-position predictions for AUC.
Args: --mbp10-data-dir --predecoded-dir --out --epochs --n-hid
--seq-len --lr --n-train-seqs --n-val-seqs --seed (all with sane
defaults from spec Section 4 Phase A).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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