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Fix MLflow tracking links to use Studio - #4100

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v-chakradhar/fix/mlflow-studio-run-link
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Fix MLflow tracking links to use Studio#4100
Chakradhar886 wants to merge 5 commits into
mainfrom
v-chakradhar/fix/mlflow-studio-run-link

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@Chakradhar886

@Chakradhar886 Chakradhar886 commented Aug 5, 2026

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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

  • I have read the contribution guidelines.
  • I have coordinated with the docs team (mldocs@microsoft.com) if this PR deletes files or changes any file names or file extensions.
  • Pull request includes test coverage for the included changes.
  • This notebook or file is added to the CODEOWNERS file, pointing to the author or the author's team.

@Chakradhar886
Chakradhar886 marked this pull request as ready for review 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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2 participants