976f9b9807
Phase C.1's atomic α deletion preserved Q_DISAGREEMENT_VARIANCE_EMA_INDEX=389
(HEALTH_DIAG diagnostic) and its state_reset_registry entry, but the
corresponding dispatch arm in reset_named_state was missing — even though
the inline comment at training_loop.rs:8024 falsely claimed it existed.
train-rqd8r (commit 10e647c14) failed both folds at fold-reset boundary:
Model error: StateResetRegistry reset dispatch:
unknown name 'sp14_q_disagreement_variance_ema'
Same class as SP5 Layer A bug-fix #281. Dispatch arm restored using
SENTINEL_VARIANCE (0.0) per the registry entry's documented sentinel.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ml
10-model ML ensemble for the Foxhunt HFT system, built on Candle v0.9.1.
Models
- DQN (Rainbow) — deep Q-network with prioritized replay, dueling heads, noisy nets
- PPO — proximal policy optimization with GAE, LSTM policies, clip-higher
- TFT — temporal fusion transformer for multi-horizon forecasting
- Mamba2 — state space model for sequence prediction
- Liquid Networks — biologically inspired networks for non-stationary data
- TLOB — transformer-based limit order book analysis
- KAN — Kolmogorov-Arnold networks
- xLSTM — extended LSTM architecture
- TGGN — temporal graph neural network
- Diffusion — diffusion-based generative model
Key Modules
ensemble— model ensemble coordination and confidence aggregationhyperopt— PSO-based hyperparameter optimization with per-model adapterstrainers— unified training loops (DQN, PPO, supervised)inference—InferenceAdaptertrait for predictioncheckpoint— model checkpointing and restorationevaluation— walk-forward evaluation pipeline
Usage
use ml::dqn::DQN;
use ml::ppo::PpoTrainer;