{"id":5578,"library":"azure-mgmt-machinelearningcompute","title":"Azure Machine Learning Compute Management","description":"The Microsoft Azure Machine Learning Compute Management Client Library for Python provides programmatic access to manage compute resources for Azure Machine Learning. It is a very old version (0.4.1) released in early 2019 and is considered abandoned, with its functionality largely superseded by newer Azure Machine Learning SDKs and resource management interfaces.","status":"abandoned","version":"0.4.1","language":"en","source_language":"en","source_url":"https://github.com/Azure/azure-sdk-for-python","tags":["azure","management","machine learning","compute","deprecated","abandoned","legacy"],"install":[{"cmd":"pip install azure-mgmt-machinelearningcompute","lang":"bash","label":"Install latest version"}],"dependencies":[],"imports":[{"symbol":"MachineLearningComputeManagementClient","correct":"from azure.mgmt.machinelearningcompute import MachineLearningComputeManagementClient"}],"quickstart":{"code":"import os\nfrom msrestazure.azure_active_directory import ServicePrincipalCredentials\nfrom azure.mgmt.machinelearningcompute import MachineLearningComputeManagementClient\n\n# This library is very old and typically requires legacy authentication methods like Service Principal.\n# Ensure AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID are set.\n\ntenant_id = os.environ.get(\"AZURE_TENANT_ID\", \"\")\nclient_id = os.environ.get(\"AZURE_CLIENT_ID\", \"\")\nclient_secret = os.environ.get(\"AZURE_CLIENT_SECRET\", \"\")\nsubscription_id = os.environ.get(\"AZURE_SUBSCRIPTION_ID\", \"\")\n\nif not all([tenant_id, client_id, client_secret, subscription_id]):\n    print(\"Please set AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID environment variables.\")\n    print(\"This library uses legacy authentication that may not integrate with modern Azure Identity methods.\")\nelse:\n    try:\n        credentials = ServicePrincipalCredentials(\n            client_id=client_id,\n            secret=client_secret,\n            tenant=tenant_id\n        )\n        client = MachineLearningComputeManagementClient(credentials, subscription_id)\n\n        print(\"Attempting to list available operations (might fail if resources are deprecated)...\")\n        operations = list(client.operations.list())\n        if operations:\n            print(f\"Found {len(operations)} operations. First one: {operations[0].name}\")\n        else:\n            print(\"No operations found or unable to list.\")\n\n    except Exception as e:\n        print(f\"An error occurred: {e}\")\n        print(\"This library is abandoned and its operations may no longer be functional or supported.\")","lang":"python","description":"Demonstrates instantiating the `MachineLearningComputeManagementClient` using `ServicePrincipalCredentials`, which was common for this library's era. It then attempts to list available management operations. Note that this library manages 'Operationalization Clusters', a concept largely deprecated in modern Azure Machine Learning. Running this example successfully may require a legacy Azure environment and careful credential setup."},"warnings":[{"fix":"Migrate to `azure-mgmt-machinelearningservices` (for resource management) or `azure-ai-ml` (for client operations) for current Azure Machine Learning functionalities.","message":"This library is effectively abandoned. Its last release was 0.4.1 in January 2019. It never reached a 1.0 stable version. Functionality it manages ('Operationalization Clusters') has been deprecated or fundamentally changed in modern Azure Machine Learning, making this library largely non-functional for current use cases.","severity":"breaking","affected_versions":"<=0.4.1"},{"fix":"If absolutely necessary to use, ensure `msrestazure` is installed and use `ServicePrincipalCredentials` with explicit `AZURE_TENANT_ID`, `AZURE_CLIENT_ID`, and `AZURE_CLIENT_SECRET` environment variables. Otherwise, migrate to a current Azure SDK.","message":"Authentication for this old library typically relies on legacy methods like `msrestazure.azure_active_directory.ServicePrincipalCredentials` or `msrestazure.azure_active_directory.ApplicationTokenCredentials`. It does not natively support modern authentication mechanisms like `azure-identity.DefaultAzureCredential` without significant effort or custom adaptation, which is generally not recommended for an abandoned library.","severity":"gotcha","affected_versions":"<=0.4.1"},{"fix":"Utilize the modern Azure Machine Learning SDKs (e.g., `azure-ai-ml`) for data plane operations and `azure-mgmt-machinelearningservices` for management plane operations to interact with current Azure ML compute resources (e.g., Azure Machine Learning Compute instances, Kubernetes clusters, etc.).","message":"The concepts and resources managed by `azure-mgmt-machinelearningcompute` (e.g., Operationalization Clusters) are largely obsolete. Azure Machine Learning has evolved significantly, and compute management is now handled through different APIs and resource models.","severity":"deprecated","affected_versions":"<=0.4.1"}],"env_vars":null,"last_verified":"2026-04-11T00:00:00.000Z","next_check":"2026-07-10T00:00:00.000Z"}