Model focus organizes and correlates metadata primarily around model files, helping users trace each model to its training run, inputs, metrics, stages, and artifacts. section 8.3.2
A model-focused metadata system can provide:
- Links from model files to a shared training_run_id, connecting outputs with training data and metrics. section 8.3.2
- Artifact discovery through URLs stored as training-run outputs, including models preserved across test, preproduction, and production stages. section 8.3.2
- A search experience that supports both model-oriented and pipeline-oriented queries, even when storage uses pipeline focus. section 8.3.2
Use the schema diagram to inspect how model files, training runs, inputs, metrics, stages, and artifact URLs are connected. section 8.3.2
