cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 
Help
Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Search instead for 
Did you mean: 

Forum Posts

Start a conversation
User16826992666
by • Valued Contributor
  • 2071 Views
  • 1 replies
  • 0 kudos

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

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?

Machine Learning
Reply
  • 2071 Views
  • 1 replies
  • 0 kudos
View Replies
Latest Reply
sajith_appukutt
Honored Contributor II
  • 0 kudos

You could mount an s3 bucket in the workspace and save your model using the mounts DBFS path For e.gmodelpath = "/dbfs/my-s3-bucket/model-%f-%f" % (alpha, l1_ratio) mlflow.sklearn.save_model(lr, modelpath)

  • 0 kudos
Labels