Real Time Drift Monitoring in H2O MLOps

This lesson shows how to set up real time drift monitoring for a deployed model in H2O MLOps. It covers choosing which columns to track and setting baselines when a deployment starts scoring data, so basic drift information is visible directly from the MLOps UI. For more detailed tracking, it moves into the built in Apache Superset integration, selecting a database schema and deployment, and shows how the platform stores aggregated statistics, including bin edges, bin counts, and sums, for both numeric columns like age and categorical columns like region or education, so a user can build a custom dashboard from that data.