MATIH Platform is in active MVP development. Documentation reflects current implementation status.
15. Workbench Architecture
ML Workbench
Model Monitoring

Model Monitoring

The monitoring components provide real-time model performance tracking, drift detection, and anomaly alerting.

Components

ModelMonitor

File: frontend/ml-workbench/src/components/Monitoring/ModelMonitor.tsx

Real-time monitoring dashboard showing:

  • Prediction drift metrics
  • Feature drift detection
  • Performance degradation alerts
  • Data quality monitoring
  • Custom metric tracking

AdvancedMonitoring

File: frontend/ml-workbench/src/components/AdvancedMonitoring/index.tsx

Enhanced monitoring with:

  • Statistical drift tests (KS test, PSI, CSI)
  • Feature importance drift
  • Prediction distribution analysis
  • Automated alerting rules
  • Integration with the ops-agent for incident creation
Model DeploymentTraining & Cost