Mini toolsDefinition
Systems for tracking ML model performance behavior and system health in production.
Detailed Explanation
Involves collecting and analyzing metrics about model predictions system performance and operational health. Includes monitoring of prediction quality data drift system resources and service levels. Also covers logging of model inputs outputs and system events.
Use Cases
Performance tracking systems Drift detection System health monitoring Audit logging
