How do you keep conformal prediction coverage guarantees when production data shifts?
camerongreen95 · reddit · 2026-10-13
A Reddit discussion on split conformal prediction in production: the clean coverage guarantee assumes the calibration set is exchangeable with future data, but real data drifts — new categories, changing ticket wording, and a three-month-old calibration set quietly stops being representative.
The poster asks how practitioners cope:
- Scheduled recalibration, monitoring empirical coverage with alerts, or adaptive variants?
- When the prediction set contains several labels, route to a human, an LLM, or a fallback rule?
An open question post collecting real-world experience with distribution shift.
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