jgrusewski
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022036cb96
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refactor(ml): consolidate 21 training binaries into 2 unified baselines
Replace 20 per-model training examples with:
- train_baseline_rl: DQN + PPO (renamed from train_baseline)
- train_baseline_supervised: TFT, Mamba2, Liquid, TGGN, TLOB, KAN, xLSTM, Diffusion
via model factory + UnifiedTrainable generic training loop
Update Dockerfile.training (16→7 binaries), train.sh MODEL_BINARY map,
and job-template.yaml default. -12,759 lines.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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2026-02-25 23:16:25 +01:00 |
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