What is feature drift monitoring in production ML systems?

Feature drift monitoring tracks changes in feature distributions over time in production systems.

In production ML, input data distributions can change due to user behavior shifts or external factors. Monitoring tools detect statistical differences between training and live data using metrics like PSI (Population Stability Index).