Detecting and responding to distribution drift in production
Distribution drift degrades model performance over time. For data scientists, propose monitoring signals, detection thresholds, and responses: retrain, reweight, or trigger investigation. Include lightweight checks feasible in production and guidance on communication with product and data-engineering teams.
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