3e726648bc
Remove diagnostic eprintln calls from the H100 hang investigation: - H100_STEP, H100_LOOP, H100_HANG4 prefixes in fused_training.rs - adam_readback prefix + ADAM_CTR static counter in gpu_dqn_trainer.rs - H100_LOOP + FUSED STEP ERROR in training_loop.rs - Debug cuStreamSynchronize block after PER update in fused_training.rs Integration tests and smoke tests already match current signatures (ext_stream: Option<&Arc<CudaStream>> with None). seg_tree_kernel.cu already deleted in prior commit. Co-Authored-By: Claude Opus 4.6 (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;