cancel
Showing results for 
Search instead for 
Did you mean: 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results for 
Search instead for 
Did you mean: 

set_experiment_description / set_runid_description

philm
New Contributor

Is there anyway at all to update both experiment / run descriptions via the API, the only option I see is note.context for experiment - but that is a limited view and doesnt allow for hyper links.

Id like to automate exp/run descriptions externally to populate back on activities external, like jira task 'Done' to then populate the description with details.

Some thing like set_experiment_description / set_run_description

I see there is a similar function available for registered model - but would be very helpful for this type of feature.

Alternatives - the tags also dont appear accessible than in the console, but for these to interprest hyperlinks would be very handy.

1 ACCEPTED SOLUTION

Accepted Solutions

Kaniz
Community Manager
Community Manager

Hi @Phil Meakins​ , The MLflow REST API allows you to create, list, and get experiments and runs, and log parameters, metrics, and artifacts. The API is hosted under the /api route on the MLflow tracking server. For example, to list experiments on a tracking server hosted at http://localhost:5000, access 

http://localhost:5000/api/2.0/preview/mlflow/experiments/list.

Screenshot 2022-02-17 at 2.20.58 AMScreenshot 2022-02-17 at 2.19.56 AMHope this helps.

Source

View solution in original post

2 REPLIES 2

Kaniz
Community Manager
Community Manager

Hi @Phil Meakins​ ! My name is Kaniz, and I'm the technical moderator here. Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question first. Or else I will get back to you soon. Thanks.

Kaniz
Community Manager
Community Manager

Hi @Phil Meakins​ , The MLflow REST API allows you to create, list, and get experiments and runs, and log parameters, metrics, and artifacts. The API is hosted under the /api route on the MLflow tracking server. For example, to list experiments on a tracking server hosted at http://localhost:5000, access 

http://localhost:5000/api/2.0/preview/mlflow/experiments/list.

Screenshot 2022-02-17 at 2.20.58 AMScreenshot 2022-02-17 at 2.19.56 AMHope this helps.

Source

Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!