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Is there a way to change the default artifact store path on Databricks Mlflow?

New Contributor

I have a cloud storage mounted to Databricks and I would like to store all of the model artifacts there without specifying it when creating a new experiment.

Is there a way to configure the Databricks workspace to save all of the model artifacts to a custom location in DBFS by default?


Esteemed Contributor III

According to the Databricks MLflow documentation, you can specify a custom artifact location when creating a new experiment using the;

artifact_location parameter of the mlflow.create_experiment

This will override the default artifact location (/databricks/mlflow)

However, if you want to change the default artifact location for all experiments, you may need to set an environment variable called


to point to your desired cloud storage path before running any MLflow code. This will tell MLflow where to store and retrieve artifacts for all experiments.

Not applicable

Hi @Eero Hiltunen​ 

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