feat(api): sour as both trained head + rule; ranked taste_profile - #40
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Sour now trains as a small-data INDICATIVE head (AUROC 0.90), surfaced as sour_predicted, while its acidity rule stays the deterministic 'sour' boolean — so the chemist sees both signals (they can disagree: MSG rule=True but model=0.12). Add taste_profile: trained heads ranked by probability (the 'order of dominance' view), so MSG reads umami-first instead of an ambiguous set of flags. Salty stays rule-only. API contract updated. Closes #39.
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Fixed in f34307d — similarity margin 18→40px; properties 2D/3D domains extended to ~99.5th pct + ~8% headroom so points sit at their true position, no edge/face pile-up. |
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Sour trains as a small-data indicative head (
sour_predicted, AUROC 0.90) while its acidity rule stays thesourboolean — both shown (they can disagree: MSG rule=True, model=0.12). Addstaste_profile, trained heads ranked by dominance (MSG → umami-first). Salty stays rule-only. Contract updated.Closes #39.