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APPLIES TO: Machine Learning Studio (classic)
Azure Machine Learning
Important
Support for Machine Learning Studio (classic) will end on 31 August 2024. We recommend you transition to Azure Machine Learning by that date.
Beginning 1 December 2021, you will not be able to create new Machine Learning Studio (classic) resources. Through 31 August 2024, you can continue to use the existing Machine Learning Studio (classic) resources.
ML Studio (classic) documentation is being retired and may not be updated in the future.
You can manage your Machine Learning Studio (classic) web services using the Machine Learning Web Services portal.
In the Machine Learning Web Services portal you can:
Note
You also can manage Classic web services in Machine Learning Studio (classic) on the Web services tab.
New web services are deployed as Azure resources. As such, you must have the correct permissions to deploy and manage New web services. To deploy or manage New web services you must be assigned a contributor or administrator role on the subscription to which the web service is deployed. If you invite another user to a machine learning workspace, you must assign them to a contributor or administrator role on the subscription before they can deploy or manage web services.
If the user does not have the correct permissions to access resources in the Machine Learning Web Services portal, they will receive the following error when trying to deploy a web service:
Web Service deployment failed. This account does not have sufficient access to the Azure subscription that contains the Workspace. In order to deploy a Web Service to Azure, the same account must be invited to the Workspace and be given access to the Azure subscription that contains the Workspace.
For more information on creating a workspace, see Create and share a Machine Learning Studio (classic) workspace.
For more information on setting access permissions, see Assign Azure roles using the Azure portal.
To manage your New Web services:
This displays a list of deployed Web services for your subscription.
To manage a Web service, click Web Services. From the Web Services page you can:
When you click a web service, the web service Quickstart page opens. The web service Quickstart page has two menu options that allow you to manage your web service:
Click the DASHBOARD tab.
From the dashboard, you can view overall usage of your Web service over a period of time. You can select the period to view from the Period dropdown menu in the upper right of the usage charts. The dashboard shows the following information:
Click the CONFIGURE menu option.
You can update the following properties:
Click the Plans menu option from the web services Quickstart page. You can also click the plan associated with specific Web service to manage that plan.
Click a plan to view its dashboard. The dashboard gives you snapshot or plan usage over a selected period of time. To select the time period to view, click the Period dropdown at the upper right of dashboard.
The plan dashboard provides the following information:
Note
The procedures in this section are relevant to managing Classic web services through the Machine Learning Web Services portal. For information on managing Classic Web services through the Machine Learning Studio (classic) and the Azure portal, see Manage a Machine Learning Studio (classic) workspace.
To manage your Classic Web services:
To manage a Classic Web Service, click Classic Web Services. From the Classic Web Services page you can:
When you manage a Classic Web service, you manage each of the endpoints separately. When you click a web service in the Web Services page, the list of endpoints associated with the service opens.
On the Classic Web Service endpoint page, you can add and delete endpoints on the service. For more information on adding endpoints, see Creating Endpoints.
Click one of the endpoints to open the web service Quickstart page. On the Quickstart page, there are two menu options that allow you to manage your web service:
Click the DASHBOARD tab.
From the dashboard, you can view overall usage of your Web service over a period of time. You can select the period to view from the Period dropdown menu in the upper right of the usage charts. The dashboard shows the following information:
Click the CONFIGURE menu option.
You can update the following properties:
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