Question

A data scientist registered a model in Unity Catalog under the name `main.ml.churn_model`. Six months later, an auditor asks the team to identify exactly which experiment run produced version 3 of this model, including the parameters and metrics logged during training. Which approach lets the team trace this information most directly?

Accepted Answer

Open the model version 3 details in the Models UI (or query it via the MLflow client) and follow the source run link, which points to the originating MLflow run containing the logged parameters and metrics.

Answer

Re-run the training notebook with the same code to reproduce the parameters and metrics, since Unity Catalog does not store any link between a model version and its training run.

Answer

Search the Delta transaction log of the feature table used for training to reconstruct the parameters and metrics associated with version 3.

Answer

Inspect the cluster event logs from the time the model was registered to find the parameters and metrics that were used.