Create and share an Azure Machine Learning workspace
This menu links to topics that describe how to set up the various data science environments used by the Cortana Analytics Process (CAPS).
To use Azure Machine Learning Studio, you need to have a Machine Learning workspace. This workspace contains the tools you need to create, manage, and publish experiments.
To create a workspace
- Sign-in to the Microsoft Azure classic portal.
[AZURE.NOTE] To sign-in, you need to be an Azure subscription administrator. Being the owner of a Machine Learning workspace will not give you access to the Microsoft Azure classic portal. See Privileges of Azure subscription administrator and workspace owner for more details.
In the Microsoft Azure services panel, click MACHINE LEARNING.
Click +NEW at the bottom of the window.
Click DATA SERVICES, then MACHINE LEARNING, then QUICK CREATE.
Enter a WORKSPACE NAME for your workspace.
Specify the Azure LOCATION, then enter an existing Azure STORAGE ACCOUNT or select Create a new storage account to create a new one.
Click CREATE AN ML WORKSPACE.
After your Machine Learning workspace is created, you will see it listed on the machine learning page.
Sharing an Azure Machine Learning workspace
Once a Machine Learning workspace is created, you can invite users to your workspace and share access to your workspace and all of its experiments. We support two roles of users:
- User - A workspace user can create, open, modify and delete datasets, experiments and web services in the workspace.
- Owner - An owner can invite, remove, and list users with access to the workspace, in addition to what a user can do. He/she also have access to Notebooks.
To share a workspace
Sign-in to Machine Learning Studio
In the Machine Learning Studio panel, click SETTINGS
Click INVITE MORE USERS
Enter one or more email address. The user just need a valid Microsoft account (e.g., email@example.com) or an organizational account (from Azure Active Directory).
Click the check button.
Each user you added will receive an email with instruction to log-in to the shared workspace.
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 an Machine Learning workspace.
Below is a table clarifying the difference between an Azure subscription administrator and a workspace owner.
|Actions||Azure subscription administrator||Workspace owner|
|Access Microsoft Azure classic portal||Yes||No|
|Create a new workspace||Yes||No|
|Delete a workspace||Yes||No|
|Add endpoint to a web service||Yes||No|
|Delete endpoint from a web service||Yes||No|
|Change concurrency for a web service||Yes||No|
|Access Machine Learning Studio||No *||Yes|
[AZURE.NOTE] * An Azure subscription administrator is automatically added to the the workspace he/she creates as workspace Owner. However, simply being an Azure subscription administrator doesn't grant him/her access to any workspace under that subscription.