I followed the instruction and check "Permissions can be quite the tricksters as well. It wouldn't hurt to revisit the IAM settings to confirm that your Azure ML service is still on friendly terms with the Blob Storage container." In my Azure storage account IAM->"Role Assignment", I can see below, here "yucai-rcode" is my workspace name for machine learning. I think my Azure machine learning service can connect to the containers in my Azure storage. Am I correct? Why do I have such problem to show the container does not exist? I feel very confused.
an error message when I run Azure machine learning automated ML
I follow the the instruction of AZURE Machine learning automated ML, My job always fails showing the error message:
I believed that the error may be related to data asset:
my data is located in Azure blob storage with name "workspaceartiftactstore",
This data is uploaded through container "Azureml"
I can see my file in "workspaceartiftactstore". Why the container name change completely? ( my first confusion). I chose "dat_final_05.10.2023.csv" for my data assets. I can see the data correctly from its preview.
However, I submit my job. It always get the above error message. It is very confusing for me at this time.
Azure Machine Learning
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Yu Cai 100 Reputation points
2024-01-11T06:11:52.6233333+00:00 Hello I checked my workspaceblobstore(default), I find it has a problem. It shows error when accessing datastore. This is created by default when I create Azure ML service. But the container "workspaceartifactstore" is accessible. Do you have any suggestions? I feel very confused.