admin: feature store browser — features sent to ml/serving per scoring call #64
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Per-user view of the feature vector logged at each
/scorecall:hour_sin,hour_cos,is_overdue,task_age_days,priority. Show diff across time for a user to spot drift.\n\nRequiresml/servingto log feature vectors (currently scores but doesn't persist them). Add a/features/{user_id}endpoint to ml/serving, store last N vectors on disk alongside model state.\n\nPart of the M1 admin console build sequence (step 7 of 16).