Fix MLflow tracking links to use Studio - #4100
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Chakradhar886
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August 5, 2026 14:26
| "source": [ | ||
| "import os\n", | ||
| "\n", | ||
| "os.environ[\"MLFLOW_SUPPRESS_PRINTING_URL_TO_STDOUT\"] = \"true\"\n", |
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I don't see usage of this env variable. what customer will do by doing this? we should not introduce any env variable just to pass the notebook, customer will clone this notebook and will use as is. should we give such experiences to customers like this?
| "\n", | ||
| "\n", | ||
| "def get_azure_ml_studio_url(run):\n", | ||
| " match = re.search(\n", |
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again same comment, why are we writing code for printing the url? i think its returning from backend itself. and customer will see this code once they clone it, is it good thing to introduce such code in notebook?
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Description
Fixes MLflow tracking links that return HTTP 404 because Azure ML does not host the MLflow UI.
Suppresses invalid MLflow-generated links.
Adds direct Azure ML Studio run links.
Clarifies that the tracking URI is an API endpoint.
Fixes the incorrect mlflow.set_tracking_uri assignment
Checklist