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Unable to deploy trained model #6

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shikha1970 opened this issue Oct 17, 2021 · 3 comments
Closed

Unable to deploy trained model #6

shikha1970 opened this issue Oct 17, 2021 · 3 comments

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@shikha1970
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When I run model deployment script, it fails. When I go to environments in AML workspace, I see a custom env by the name myenv. But when I try to build it that fails. Need urgent help.

@LieBieS
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LieBieS commented Apr 5, 2022

Good day, Shikah1970,
Did you find a solution?
You can rename the variable to something else. It appears to be a conflict. I will create a PR to update the issue.

@Dongbumlee
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Dongbumlee commented Apr 13, 2022

When I run model deployment script, it fails. When I go to environments in AML workspace, I see a custom env by the name myenv. But when I try to build it that fails. Need urgent help.

The reason why you've got trouble was curated environment - 'AzureML-PySpark-MmlSpark-0.15' which is not belong to curated environment in AzureML anymore.

So I replaced it with docker container which has been backed by Microsoft in Docker (mcr.microsoft.com/mmlspark/release).
and adding dependencies for score.py into environment.yml file.

@Dongbumlee
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let me close this issue

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