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
sqlshep
by • New Contributor III
  • 3300 Views
  • 3 replies
  • 1 kudos

InvalidConfigurationError: You haven't configured the CLI yet! Please configure by entering ...

Running a python function in the notebook, i am getting the following InvalidConfigurationError: You haven't configured the CLI yet! Please configure by entering `/databricks/python_shell/scripts/db_ipykernel_launcher.py configure`When i try to run...

Machine Learning
Reply
  • 3300 Views
  • 3 replies
  • 1 kudos
View Replies
Latest Reply
wicked-lion
New Contributor II
  • 1 kudos

Facing the same issuefor me the error comes up when mlflow.get_experiment_by_name is called.I am  running a custom docker image built on databricksruntime/standard:13.3-LTScustom image so my packages are installed.

  • 1 kudos
2 More Replies
marvin1
by • New Contributor III
  • 509 Views
  • 1 replies
  • 0 kudos

Unable to configure compute of cloned job

If I clone an existing job without making any changes, I am able to reconfigure the compute successfully. If I remove or add a spark environment variable to test modifications, such as using secrets for example, and I confirm the changes to the job, ...

Machine Learning
Reply
  • 509 Views
  • 1 replies
  • 0 kudos
View Replies
Latest Reply
Anonymous
Not applicable
  • 0 kudos

Hi @Marvin Ginns​ Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.

  • 0 kudos
shane
by • New Contributor II
  • 2428 Views
  • 3 replies
  • 0 kudos

Not able to configure cluster settings instance type using mlflow api 2.0 to enable model serving.

I'm able to enable model serving by using the mlflow api 2.0 with the following code...instance = f'https://{workspace}.cloud.databricks.com' headers = {'Authorization': f'Bearer {api_workflow_access_token}'}   # Enable Model Serving import request...

Screen Shot 2023-02-02 at 3.53.16 PM
Machine Learning
Reply
  • 2428 Views
  • 3 replies
  • 0 kudos
View Replies
Latest Reply
Anonymous
Not applicable
  • 0 kudos

Hi @Shane Piesik​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedback...

  • 0 kudos
2 More Replies
Labels