Catching covariate shift and concept drift before model accuracy degrades using PSI metrics and Evidently AI dashboards.
PSI measures how much a feature distribution in production serving data has shifted relative to baseline training data:
# PSI Formula Concept
PSI = sum( (Actual_i - Expected_i) * ln(Actual_i / Expected_i) )A PSI > 0.2 indicates significant distribution drift, triggering automated retraining pipelines.
References & Further Reading:
Core Data Platform Lead. Apache Spark contributor with expertise in Databricks and modern cloud warehouses.