Register ML Model

See Extended Examples for complete configuration files and templates.

Implement MLflow Model Registry for systematic model versioning, stage management, and deployment governance.

When to Use

• Promoting a trained model from experimentation to production
• Managing multiple model versions across development stages
• Implementing model approval workflows for governance
• Tracking model lineage from training to deployment
• Rolling back to previous model versions
• Comparing deployed model versions for A/B testing
• Auditing model changes for compliance requirements

Inputs