Economic Forecasting Model

Section 6: Model Versioning & MLOPS


6.1 Lifecycle Management

Each model progresses through: Training → Validation → Staging → Production → Retirement.

6.2 Model Registry

Metadata includes architecture details, training data versions, evaluation metrics, and deployment history.


6.3 Continuous training

Retraining is triggered by:

  • Scheduled time intervals.
  • Detected performance degradation.
  • Significant data drift.
  • 6.4 Rollback Strategy

    If a deployed model underperforms, the system automatically rolls back to the last stable version and alerts administrators.