feat(losses): generalize noise_corrected_bce to multiclass - #322
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NoiseCorrectedCrossEntropyLoss extends the binary forward correction (#279) to a single-sink noise structure for --num-out > 1: each non-sink class has its own measured purity, and every class's label noise flows only to one designated sink class (--noise-sink-class, resolved via label_map). --label-noise-rate keys are resolved as class labels rather than per-sample source_group lookups at num_out > 1; all-zero rates reduce to plain cross-entropy bit-for-bit. Also fixes train_model silently overriding an explicit --loss noise_corrected_bce to cross_entropy whenever num_out > 1. Closes #321. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_0165BfnCSaxTps9iJqRyurKi
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Generalizes
--loss noise_corrected_bceto multiclass (issue #321), closing the gap that blocked using the unified 20+1-class charge-aware model with the existing noise-correction loss.🤖 Generated with Claude Code
https://claude.ai/code/session_0165BfnCSaxTps9iJqRyurKi