You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/machine-learning/resource-known-issues.md
+1-9Lines changed: 1 addition & 9 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -14,7 +14,7 @@ ms.date: 03/26/2020
14
14
---
15
15
# Known issues and troubleshooting Azure Machine Learning
16
16
17
-
This article helps you find and correct errors or failures encountered when using Azure Machine Learning.
17
+
This article helps you find and correct errors or failures you may encounter when using Azure Machine Learning.
18
18
19
19
## Diagnostic logs
20
20
@@ -35,8 +35,6 @@ Learn about the [resource quotas](how-to-manage-quotas.md) you might encounter w
35
35
36
36
## Installation and import
37
37
38
-
Issues with installing the Python SDK or importing packages.
39
-
40
38
***Error message: Cannot uninstall 'PyYAML'**
41
39
42
40
Azure Machine Learning SDK for Python: PyYAML is a `distutils` installed project. Therefore, we cannot accurately determine which files belong to it if there is a partial uninstall. To continue installing the SDK while ignoring this error, use:
@@ -93,17 +91,13 @@ Issues with installing the Python SDK or importing packages.
93
91
94
92
## Create and manage workspaces
95
93
96
-
Issues with a Machine Learning workspace.
97
-
98
94
> [!WARNING]
99
95
> Moving your Azure Machine Learning workspace to a different subscription, or moving the owning subscription to a new tenant, isnot supported. Doing so may cause errors.
100
96
101
97
***Azure portal**: If you go directly to view your workspace from a share link from the SDKor the portal, you will not be able to view the normal **Overview** page with subscription information in the extension. You will also not be able to switch into another workspace. If you need to view another workspace, go directly to [Azure Machine Learning studio](https://ml.azure.com) and search for the workspace name.
102
98
103
99
## Set up your environment
104
100
105
-
Known issues with using Azure Machine Learning Compute (AmlCompute).
106
-
107
101
***Trouble creating AmlCompute**: There is a rare chance that some users who created their Azure Machine Learning workspace from the Azure portal before the GA release might not be able to create AmlCompute in that workspace. You can either raise a support request against the service or create a new workspace through the portal or the SDK to unblock yourself immediately.
108
102
109
103
## Work with data
@@ -131,8 +125,6 @@ These are known issues for Azure Machine Learning Datasets.
0 commit comments