Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
This article describes machine learning model and experiment permissions in Microsoft Fabric and how users acquire these permissions.
Note
After you create a workspace in Microsoft Fabric, or if you have an admin role in a workspace, you can give others access to it by assigning them a different role. To learn more about workspaces and how to grant users access to your workspace, see Workspaces and Giving users access to workspaces.
Permissions for machine learning experiments
The following table describes the levels of permission that control access to machine learning experiments in Microsoft Fabric.
| Permission | Description |
|---|---|
| Read | Allows user to read machine learning experiments. Allows user to view runs within machine learning experiments. Allows user to view run metrics and parameters. Allows user to view and download run files. |
| Write | Allows user to create machine learning experiments. Allows user to modify or delete machine learning experiments. Allows user to add runs to machine learning experiments. Allows user to save an experiment run as a model. |
Permissions for machine learning models
The following table describes the levels of permission that control access to machine learning models in Microsoft Fabric.
| Permission | Description |
|---|---|
| Read | Allows user to read machine learning models. Allows user to view versions within machine learning models. Allows user to view model version metrics and parameters. Allows user to view and download model version files. |
| Write | Allows user to create machine learning models. Allows user to modify or delete machine learning models. Allows user to add model versions to machine learning models. |
Permissions acquired by workspace role
A user's role in a workspace implicitly grants them permissions on the datasets in the workspace, as described in the following table.
| Admin | Member | Contributor | Viewer | |
|---|---|---|---|---|
| Read | 
|
|
|
|
| Write |
|
|
|
|
| Execute |
|
|
|
|
| View execution output |
|
|
|
|
Note
You can assign roles to individuals or to security groups, Microsoft 365 groups, and distribution lists. For more information about workspace roles in Microsoft Fabric, see Roles in workspaces.
Item-level sharing
In addition to workspace roles, you can share individual machine learning models and experiments with specific users or groups. Sharing grants the recipient Read permission by default, with the option to grant additional permissions such as Edit, Share, or Execute. Use item-level sharing when you want to grant access to a specific item without assigning a workspace role.
For more information, see Share items in Microsoft Fabric.
Related content
- Learn about roles in workspaces: Roles in Microsoft Fabric workspaces
- Give users access to workspaces: Granting access to users