How do we log without a dbfs for MLFlow models.

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Machine Learning

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Hi Databricks Team,

We are planning a UC Migration for a customer who currently has around 500 experiments, each with multiple runs. These experiments are registered and MLflow is logging to DBFS locations. However, we have not found any documentation or case studies on upgrading experiments registered on DBFS to use Volumes or External Locations as part of UC Migration.

Could you provide any guidance or support on how to handle this migration effectively?