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Fix MLflow tracking links: add ML Studio URLs, fix tracking URI bug #4074

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Fix MLflow tracking links: add ML Studio URLs, fix tracking URI bug #4074

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a2e7071
Fix MLflow tracking links: add ML Studio URLs and fix tracking URI bug
Copilot Jul 20, 2026
906096f
Apply black formatting to fix python/validate CI check
Copilot Jul 20, 2026
cf60645
Merge branch 'main' into copilot/investigate-fix-mlflow-links
lavakumarrepala Jul 28, 2026
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35 changes: 34 additions & 1 deletion sdk/python/using-mlflow/model-management/model_management.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -142,6 +142,15 @@
"mlflow.set_tracking_uri(azureml_tracking_uri)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> **Note:** The MLflow tracking URI is an API endpoint for the Azure Machine Learning tracking server. ",
"Azure Machine Learning does not expose a MLflow UI at this address. ",
"To view your experiments and runs, use [Azure ML Studio](https://ml.azure.com) instead."
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -192,6 +201,30 @@
"print(last_run.info.run_id)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"# Construct the Azure ML Studio URL to view this run\n",
"tracking_uri = mlflow.get_tracking_uri()\n",
"match = re.search(\n",
" r\"subscriptions/([^/]+)/resourceGroups/([^/]+)/providers/Microsoft\\.MachineLearningServices/workspaces/([^/?]+)\",\n",
" tracking_uri,\n",
" re.IGNORECASE,\n",
")\n",
"if match:\n",
" sub, rg, ws_name = match.groups()\n",
" studio_url = (\n",
" f\"https://ml.azure.com/runs/{last_run.info.run_id}\"\n",
" f\"?wsid=/subscriptions/{sub}/resourcegroups/{rg}/workspaces/{ws_name}\"\n",
" )\n",
" print(f\"View this run in Azure ML Studio:\\n{studio_url}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -626,4 +659,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}
41 changes: 40 additions & 1 deletion sdk/python/using-mlflow/train-and-log/keras_mnist_with_mlflow.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -229,6 +229,45 @@
"mlflow.end_run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> **Note:** Azure Machine Learning uses MLflow as a compatible tracking server but does not expose a MLflow UI. ",
"To view your experiments and runs, use [Azure ML Studio](https://ml.azure.com) instead. ",
"You can get the direct link to the run using the code below."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"# Construct the Azure ML Studio URL to view this run\n",
"# AzureML does not serve a MLflow UI - use Azure ML Studio to view your runs\n",
"tracking_uri = mlflow.get_tracking_uri()\n",
"match = re.search(\n",
" r\"subscriptions/([^/]+)/resourceGroups/([^/]+)/providers/Microsoft\\.MachineLearningServices/workspaces/([^/?]+)\",\n",
" tracking_uri,\n",
" re.IGNORECASE,\n",
")\n",
"if match:\n",
" sub, rg, ws_name = match.groups()\n",
" studio_url = (\n",
" f\"https://ml.azure.com/runs/{run.info.run_id}\"\n",
" f\"?wsid=/subscriptions/{sub}/resourcegroups/{rg}/workspaces/{ws_name}\"\n",
" )\n",
" print(f\"View this run in Azure ML Studio:\\n{studio_url}\")\n",
"else:\n",
" print(f\"Run ID: {run.info.run_id}\")\n",
" print(\n",
" \"To view this run, navigate to Azure ML Studio (https://ml.azure.com) and find your experiment.\"\n",
" )"
]
},
{
"attachments": {},
"cell_type": "markdown",
Expand Down Expand Up @@ -526,4 +565,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}
41 changes: 40 additions & 1 deletion sdk/python/using-mlflow/train-and-log/xgboost_classification_mlflow.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -270,6 +270,45 @@
"mlflow.end_run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> **Note:** Azure Machine Learning uses MLflow as a compatible tracking server but does not expose a MLflow UI. ",
"To view your experiments and runs, use [Azure ML Studio](https://ml.azure.com) instead. ",
"You can get the direct link to the run using the code below."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"# Construct the Azure ML Studio URL to view this run\n",
"# AzureML does not serve a MLflow UI - use Azure ML Studio to view your runs\n",
"tracking_uri = mlflow.get_tracking_uri()\n",
"match = re.search(\n",
" r\"subscriptions/([^/]+)/resourceGroups/([^/]+)/providers/Microsoft\\.MachineLearningServices/workspaces/([^/?]+)\",\n",
" tracking_uri,\n",
" re.IGNORECASE,\n",
")\n",
"if match:\n",
" sub, rg, ws_name = match.groups()\n",
" studio_url = (\n",
" f\"https://ml.azure.com/runs/{run.info.run_id}\"\n",
" f\"?wsid=/subscriptions/{sub}/resourcegroups/{rg}/workspaces/{ws_name}\"\n",
" )\n",
" print(f\"View this run in Azure ML Studio:\\n{studio_url}\")\n",
"else:\n",
" print(f\"Run ID: {run.info.run_id}\")\n",
" print(\n",
" \"To view this run, navigate to Azure ML Studio (https://ml.azure.com) and find your experiment.\"\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -698,4 +737,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}
33 changes: 32 additions & 1 deletion sdk/python/using-mlflow/train-and-log/xgboost_nested_runs.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -651,6 +651,37 @@
"![](assets/hyperopt_child.png)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"# Construct the Azure ML Studio URL to view the parent run\n",
"# AzureML does not serve a MLflow UI - use Azure ML Studio to view your runs\n",
"hyperopt_run = mlflow.last_active_run()\n",
"tracking_uri = mlflow.get_tracking_uri()\n",
"match = re.search(\n",
" r\"subscriptions/([^/]+)/resourceGroups/([^/]+)/providers/Microsoft\\.MachineLearningServices/workspaces/([^/?]+)\",\n",
" tracking_uri,\n",
" re.IGNORECASE,\n",
")\n",
"if match:\n",
" sub, rg, ws_name = match.groups()\n",
" studio_url = (\n",
" f\"https://ml.azure.com/runs/{hyperopt_run.info.run_id}\"\n",
" f\"?wsid=/subscriptions/{sub}/resourcegroups/{rg}/workspaces/{ws_name}\"\n",
" )\n",
" print(f\"View this run in Azure ML Studio:\\n{studio_url}\")\n",
"else:\n",
" print(f\"Run ID: {hyperopt_run.info.run_id}\")\n",
" print(\n",
" \"To view this run, navigate to Azure ML Studio (https://ml.azure.com) and find your experiment.\"\n",
" )"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -952,4 +983,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}
43 changes: 41 additions & 2 deletions sdk/python/using-mlflow/train-and-log/xgboost_service_principal.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -153,7 +153,7 @@
"source": [
"import mlflow\n",
"\n",
"mlflow.set_tracking_uri = ws.mlflow_tracking_uri\n",
"mlflow.set_tracking_uri(ws.mlflow_tracking_uri)\n",
"mlflow.set_experiment(experiment_name=\"heart-condition-classifier\")"
]
},
Expand Down Expand Up @@ -372,6 +372,45 @@
"mlflow.end_run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> **Note:** Azure Machine Learning uses MLflow as a compatible tracking server but does not expose a MLflow UI. ",
"To view your experiments and runs, use [Azure ML Studio](https://ml.azure.com) instead. ",
"You can get the direct link to the run using the code below."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"\n",
"# Construct the Azure ML Studio URL to view this run\n",
"# AzureML does not serve a MLflow UI - use Azure ML Studio to view your runs\n",
"tracking_uri = mlflow.get_tracking_uri()\n",
"match = re.search(\n",
" r\"subscriptions/([^/]+)/resourceGroups/([^/]+)/providers/Microsoft\\.MachineLearningServices/workspaces/([^/?]+)\",\n",
" tracking_uri,\n",
" re.IGNORECASE,\n",
")\n",
"if match:\n",
" sub, rg, ws_name = match.groups()\n",
" studio_url = (\n",
" f\"https://ml.azure.com/runs/{run.info.run_id}\"\n",
" f\"?wsid=/subscriptions/{sub}/resourcegroups/{rg}/workspaces/{ws_name}\"\n",
" )\n",
" print(f\"View this run in Azure ML Studio:\\n{studio_url}\")\n",
"else:\n",
" print(f\"Run ID: {run.info.run_id}\")\n",
" print(\n",
" \"To view this run, navigate to Azure ML Studio (https://ml.azure.com) and find your experiment.\"\n",
" )"
]
},
{
"attachments": {},
"cell_type": "markdown",
Expand Down Expand Up @@ -524,4 +563,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}
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