Taking a Model to Production: PredictionEnginePool in ASP.NET Core, Model Versioning and Drift
The way to serve an ML.NET model safely in ASP.NET Core is PredictionEnginePool, a card stored with the model and drift tracked against real outcomes. We put Bookstore's delivery-time model into a minimal API and show with real output how a shared PredictionEngine returns 12% wrong answers under load, how to update the model without a restart, latency metrics, and a model that degrades while its inputs stay the same.
15 Nov 2026
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17 min
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