I have an mlflow experiment with runs in it. When I go to a run's page (with the parameters/metrics/logged artifacts), there is a part that says `git source: my_project_name@some_letters` and I was wondering what that was supposed to point to.When I ...
Hi, have you already dealt with the situation that you would like to have two different ml models in one cluster? i.e: I have a project which contains two or more different models with more different pursposes. The goals is to have three differ...
Hi @Tomas Peterek Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Than...
Hi! So I used this MLFlow experiment I found from the databricks website: https://docs.databricks.com/_static/notebooks/machine-learning-with-unity-catalog.htmlAnd I created this cluster using a custom Docker image I created myself: Usually when I c...
Have you tried the steps mentioned in the below URL:https://docs.databricks.com/clusters/custom-containers.html#step-3-launch-your-cluster
I am facing an issue in loading a ML artifact for a specific run by search the experiment runs to get a specific run_id as follows:https://www.mlflow.org/docs/latest/rest-api.html#search-runsAPI request to https://eastus-c3.azuredatabricks.net/api/2....
Yes, you will hit rate limits if you try to query the API so fast in parallel. Do you just want to manipulate the run data in an experiment with Spark? you can simply load all that data in a DataFrame with spark.read.format("mlflow-experiment").load(...
I'm trying to create a new experiment on mlflow but I have this problem:Exception: Run with UUID l142ae5a7cf04a40902ae9ed7326093c is already active. snippet mlflow.set_experiment("New experiment 2") mlflow.set_tracking_uri('http://mlflow:5000') ...
You have to run mlflow.end_run() to finish the first experiment. Then you can create another
I am using ML flow and my need of the hour is to delete an experiment and want to create another experiment with same run.client = MlflowClient(tracking_uri=server) client.delete_experiment(1)This deletes the experiment, but when I run a new experim...
SQL Database:This is more tricky, as there are dependencies that need to be deleted. I am using MySQL, and these commands work for me:USE mlflow_db; # the name of your database DELETE FROM experiment_tags WHERE experiment_id=ANY( SELECT experime...
