How to choose legacy MLflow to upgrade Unity Catalog models

[Yuki]

Hi there,

I'm trying to upgrade MLflow models to Unity Catalog from legacy Models.

I'm referencing this document. https://docs.databricks.com/aws/en/machine-learning/manage-model-lifecycle/upgrade-models

But I'm facing the error when I run `workspace_client.search_model_versions(filter_string=f"name='{model_name}'", page_token=None)` of function: `_upgrade_registered_model`.

The error message is following,
INVALID_PARAMETER_VALUE: Bad model name: please specify all three levels of the model in the form `catalog_name.schema_name.model_name`

I'm using Runtime 13.0 or above and having permissions to UC.

This message seems that the `workspace_client = MlflowClient()` is connected UC MLflow formats.
How should I access legacy Models?

Thank you.

[Yuki · Accepted solution]

I'm sorry, I figured it out myself.

I have to write like this, workspace_client = MlflowClient(registry_uri="databricks")

as the document: https://docs.databricks.com/gcp/en/machine-learning/manage-model-lifecycle/workspace-model-registry