title | description | services | author | ms.custom | ms.author | manager | editor | ms.assetid | ms.service | ms.component | ms.workload | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Create a Machine Learning Studio Workspace | Microsoft Docs |
How to create a workspace for Azure Machine Learning Studio |
machine-learning |
heatherbshapiro |
(previous ms.author hshapiro) |
amlstudiodocs |
hjerez |
cgronlun |
aa96b784-ac6c-44bc-a28a-85d49fbe90a2 |
machine-learning |
studio |
data-services |
article |
12/07/2017 |
To use Azure Machine Learning Studio, you need to have a Machine Learning Studio workspace. This workspace contains the tools you need to create, manage, and publish experiments.
[!INCLUDE machine-learning-free-trial]
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Sign in to the Azure portal
[!NOTE] To sign in and create a workspace, you need to be an Azure subscription administrator.
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Click +New
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In the search box, type Machine Learning Studio Workspace and select the matching item. Then, select click Create at the bottom of the page.
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Enter your workspace information:
- The workspace name may be up to 260 characters, not ending in a space. The name can't include these characters:
< > * % & : \ ? + /
- The web service plan you choose (or create), along with the associated pricing tier you select, is used if you deploy web services from this workspace.
- The workspace name may be up to 260 characters, not ending in a space. The name can't include these characters:
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Click Create.
Once the workspace is deployed, you can open it in Machine Learning Studio.
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Browse to Machine Learning Studio at https://studio.azureml.net/.
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Select your workspace in the upper-right-hand corner.
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Click my experiments.
For information about managing your workspace, see Manage an Azure Machine Learning workspace. If you encounter a problem creating your workspace, see Troubleshooting guide: Create and connect to a Machine Learning workspace.
Once a Machine Learning workspace is created, you can invite users to your workspace to share access to your workspace and all its experiments, datasets, notebooks, etc. You can add users in one of two roles:
- User - A workspace user can create, open, modify, and delete experiments, datasets, etc. in the workspace.
- Owner - An owner can invite and remove users in the workspace, in addition to what a user can do.
Note
The administrator account that creates the workspace is automatically added to the workspace as workspace Owner. However, other administrators or users in that subscription are not automatically granted access to the workspace - you need to invite them explicitly.
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Sign in to Machine Learning Studio at https://studio.azureml.net/Home
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In the left panel, click SETTINGS
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Click the USERS tab
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Click INVITE MORE USERS at the bottom of the page
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Enter one or more email addresses. The users need a valid Microsoft account or an organizational account (from Azure Active Directory).
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Select whether you want to add the users as Owner or User.
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Click the OK checkmark button.
Each user you add will receive an email with instructions on how to sign in to the shared workspace.
Note
For users to be able to deploy or manage web services in this workspace, they must be a contributor or administrator in the Azure subscription.