I tried to log some run in my Databricks Workspace and I'm facing the following error: RESOURCE_ALREADY_EXISTS when I try to log any run.

I could replicate the error with the following code:

import mlflow
import mlflow.sklearn
from mlflow.tracking import MlflowClient
 
mlflow.set_experiment('/learning/Mlflow-Full-Example/test-mlflow')
 
with mlflow.start_run(run_name='silly_run-test') as run:
  mlflow.log_param('seed', 777)

The error is the following, I don't know what to do about the conflict with that AML experiment

In case the error image has not quality enough here is the full message:

RestException: RESOURCE_ALREADY_EXISTS: Failed to create AML experiment for experiment id=1823487114958629, name=/learning/Mlflow-Full-Example/test-mlflow, artifactLocation=dbfs:/databricks/mlflow-tracking/1823487114958629. There is an existing AML experiment with id=fa0eed6c-afd5-458b-9835-88903b535e04 and name='/adb/6432554542138879/1823487114958629/learning/Mlflow-Full-Example/test-mlflow' and artifactLocation='' that is not compatible.