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I'm trying to create an environment from a custom Dockerfile in the UI of Azure Machine Learning Studio. It previously used to work when I used the option: Create a new Docker context.

I decided to do it through code and build the image on compute, meaning I used this line to set it:

ws.update(image_build_compute = "my_compute_cluster")

But now I cannot create any environment through the UI and the docker build context anymore. I tried setting back the property image_build_compute to None or False but it doesn't work either. Also tried deleting the property through the cli but also doesn't work. I checked on another machine learning workspace and this property doesn't exists.

Is there a way for me to completely remove this property or enable again the docker build context?

Curiousme
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1 Answers1

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Created compute cluster with some specifications and there is a possibility to update the version of the cluster and checkout the code block.

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workspace.update(image_build_compute = "Standard_DS12_v2")

We can create the compute instance using the UI of the portal using the following steps using the docker.

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With the above procedure we can get to confirm that the environment was created using the docker image and file.

Sairam Tadepalli
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