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Support four-channel triple confidence tensors#5

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codex/update-semantictriple-and-related-implementations
Open

Support four-channel triple confidence tensors#5
research-developer wants to merge 1 commit intomainfrom
codex/update-semantictriple-and-related-implementations

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Summary

  • update SemanticTriple to normalize scalar and four-channel confidence inputs while keeping legacy scalar consumers happy and expose tensor helpers
  • adapt TripleCollection, GraphConstructor, and synthetic dataset generation to work with four-value log-score tensors
  • extend unit coverage to validate both scalar compatibility and the new four-channel data path

Testing

  • pytest --override-ini addopts= tests/data/test_triple.py (fails: ModuleNotFoundError: No module named 'torch')

https://chatgpt.com/codex/tasks/task_e_68f711c1b8b483248485dc552f5536d3

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