Surface per-head CV-AUROC on the taste meters - #86
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train_taste.py writes taste_models/manifest.json with each head's held-out AUROC (sweet 0.95, bitter 0.95, umami 0.99, sour 0.90) + intensity R2. predict.py loads it and returns taste_meta; the workbench shows '· AUROC 0.95' beside predicted taste scores (not measured ground truth), mirroring the aroma descriptors. Signed-off-by: Austin L. <86896075+rvnminers-A-and-N@users.noreply.github.com>
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train_taste.pywritestaste_models/manifest.json(per-head held-out AUROC + intensity R²);predict.pyreturnstaste_meta; the workbench shows· AUROC 0.95beside predicted taste scores (not measured), mirroring the aroma descriptors.