Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
Let's improve the error message experience when users encounter this error. The ideal experience is actionable and specific to minimize friction for users. For example, a user could press a button in the error dialog to fix the issue. Or they could have a link that takes them directly to documentation for a complex issue. If they need to navigate to the Studio, we could provide a link to direct them to the right UI/tab as much as possible.
Context: The user is trying to connect to a compute instance that they do not have access to. The compute instance was either created by a different user (computes are only connectable by the creator) or not assigned to the user when it was created.
Let's improve the error message experience when users encounter this error. The ideal experience is actionable and specific to minimize friction for users. For example, a user could press a button in the error dialog to fix the issue. Or they could have a link that takes them directly to documentation for a complex issue. If they need to navigate to the Studio, we could provide a link to direct them to the right UI/tab as much as possible.
Context: The user is trying to connect to a compute instance that they do not have access to. The compute instance was either created by a different user (computes are only connectable by the creator) or not assigned to the user when it was created.
Screenshots/doc: https://microsoft-my.sharepoint-df.com/:w:/p/tbombach/EQr8lflQzDJKpspWiDV3N6MBKSlgeItWDYrj_o5v-oITcA?e=u3Q27x
Steps: