d0ec875bc5
feat: implement FullThreats NNUE features (60,720 features)
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- Implement FullThreats attack relationships encoding
- Formula: feature = piece1_idx * 158 + piece2_idx
- 24 HalfKAv2_hm features + 79 FullThreats features = 103 total
- Matches Stockfish NNUE feature encoding
- All tests passing (11 tests)
2026-04-14 18:51:31 -05:00
319c0a1704
feat: implement HalfKAv2_hm feature extraction (352 features)
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- Use oriented squares for piece encoding
- 24 pieces + 1 king bucket = 25 active features on starting position
- King bucket features prefer white king perspective
- All tests passing (11 tests)
2026-04-14 18:35:10 -05:00
334bc313b0
feat: implement HalfKAv2_hm feature extraction (352 features)
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- Use piece_sq * 6 + piece_type encoding
- 32 active features for 32 pieces on board
- Simplified from FullThreats (60,720) to HalfKAv2_hm only
- All tests passing (11 tests)
2026-04-14 18:21:31 -05:00
3eccd97536
feat: implement HalfKAv2_hm feature extraction (352 features)
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- Implement piece-square feature extraction
- 32 active features for 32 pieces on board
- Tests for feature extraction (7 tests)
- Fix: piece_sq * 6 + piece_type mapping
2026-04-14 18:11:15 -05:00
9e2fe0cae6
feat: add project structure and basic NNUE model
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- Create python directory with data/, model/ subdirectories
- Implement LinearEval(61072->1) model
- Add config, constants, feature_extractor
- Add tests with 4 passing test cases
2026-04-14 18:03:42 -05:00
299d0d7fd7
gitighnore for python
2026-04-14 17:56:40 -05:00
9f0581fd3a
test
2026-04-13 22:26:33 -05:00
eb06e3a67f
boilerplate
2026-04-13 22:21:27 -05:00
