Files
foxhunt/crates/ml
jgrusewski f4059a7510 fix: concat_ofi_features uses state_dim_padded stride, not state_dim
states_buf has stride pad128(state_dim) for CUTLASS alignment. The
concat_ofi kernel was reading with stride state_dim → OOB for sample 1+.
With state_dim=50, pad=128: sample 1 OFI at offset 128+42=170, but
kernel read at 50+42=92 (sample 0 padding area). Silent data corruption.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-15 13:56:05 +02:00
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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 aggregation
  • hyperopt — PSO-based hyperparameter optimization with per-model adapters
  • trainers — unified training loops (DQN, PPO, supervised)
  • inferenceInferenceAdapter trait for prediction
  • checkpoint — model checkpointing and restoration
  • evaluation — walk-forward evaluation pipeline

Usage

use ml::dqn::DQN;
use ml::ppo::PpoTrainer;