Janis Eccarius
9d81198108
Build & Test (NowChessSystems) TeamCity build finished
Replace absolute 768-feature encoding with dual-perspective king-relative encoding (HalfKP style): each piece is encoded from both the white king's and the black king's reference frame, yielding 98304 input features (2 × 64 king-squares × 12 piece-types × 64 squares). Key changes: - NNUE.scala: featureIdxWhite/featureIdxBlack replace featureIndex; pushAccumulator now accepts childBoard and recomputes on king moves (castle or normal king move) instead of using stale incremental state; non-king moves update both perspectives incrementally (~4 column ops). - EvaluationNNUE.scala: pass child.board to pushAccumulator. - python/src/train.py: fen_to_features produces 98304-dim HalfKP vector; NNUE model input size updated to INPUT_SIZE (98304); DEFAULT_HIDDEN_SIZES reduced to [512, 256, 128] appropriate for sparse high-dim input. - nnue_weights.nbai: replaced with placeholder 98304→16→8→1 model so tests compile and run; replace with a retrained model via Colab notebook. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>