admin: feature store browser — features sent to ml/serving per scoring call #64

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opened 2026-04-16 03:29:31 +00:00 by alvis · 0 comments
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Per-user view of the feature vector logged at each /score call: hour_sin, hour_cos, is_overdue, task_age_days, priority. Show diff across time for a user to spot drift.\n\nRequires ml/serving to 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).

Per-user view of the feature vector logged at each `/score` call: `hour_sin`, `hour_cos`, `is_overdue`, `task_age_days`, `priority`. Show diff across time for a user to spot drift.\n\nRequires `ml/serving` to 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).
alvis added this to the M1 — Real signal milestone 2026-04-16 03:29:31 +00:00
alvis added the admin label 2026-04-16 03:29:43 +00:00
alvis closed this issue 2026-04-16 03:56:23 +00:00
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Reference: alvis/oO#64