Can I save MLflow artifacts to locations other than the dbfs?

[User16826992666]

The default location or MLflow artifacts is on dbfs, but I would like to save my models to an alternative location. Is this supported, and if it is how can I accomplish it?

[sajith_appukutt · Accepted solution]

You could mount an s3 bucket in the workspace and save your model using the mounts DBFS path

For e.g

modelpath = "/dbfs/my-s3-bucket/model-%f-%f" % (alpha, l1_ratio)
mlflow.sklearn.save_model(lr, modelpath)