notebook-formats - If exporting a Databricks run, the run's notebook revision can be saved in the specified formats (comma-delimited argument). Each format is saved in the notebooks folder of the run's artifact root directory as notebook.{format}. Supported formats are SOURCE, HTML, JUPYTER and DBC. See Databricks Export Format documentation.
use-src-user-id - Set the destination user ID to the source user ID. Source user ID is ignored when importing into Databricks since the user is automatically picked up from your Databricks access token.
export-source-tags - Exports source information under the mlflow_export_import tag prefix. See section below for details.
For ML governance purposes, original source run information is saved under the mlflow_export_import tag prefix in the destination MLflow object.
For details see README_source_tags.