상황
A production predictive maintenance system must monitor model inputs, predictions, and drift to ensure reliability and trigger alerts.
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01
Separate Prediction and ActualOutcome tables to compare forecasts with observed equipment failures
02
Model feature distributions and drift metrics as first-class entities to support automated monitoring
03
Link DataQualityIssue to Reading to track upstream data quality problems
Use when designing a schema for ML observability, drift detection, or model performance tracking in industrial IoT or maintenance domains.