50e6cdc906
Adds gemm_cache_bias field, create_cached_fwd_gemm_desc_bias builder, and sgemm_f32_fused_bias helper. Pre-creates descriptors for every BIAS-only output shape used in the forward pass. No call sites migrated yet — subsequent commits flip individual sites to use the fused helper. Mirrors the established RELU_BIAS infrastructure pattern: deterministic algorithm selection, per-call bias-pointer wiring, Err-on-missing-cache contract for graceful fall-back.
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;