- Create python directory with data/, model/ subdirectories - Implement LinearEval(61072->1) model - Add config, constants, feature_extractor - Add tests with 4 passing test cases
456 B
456 B
Chess NNUE Distillation
Train a single linear layer on Stockfish's NNUE features.
Quick Start
cd python
source .venv/bin/activate
pip install torch --index-url https://download.pytorch.org/whl/cu121
pip install numpy python-chess tqdm matplotlib h5py joblib pytest
python train_full.py
Architecture
- Input: 61,072 features (352 HalfKAv2_hm + 60,720 FullThreats)
- Output: 1 scalar (centipawns)
- Optimizer: Adam (lr=1e-3, wd=1e-4)