I hope I am not missing something obvious here. I am using the new azure ml studio designer. I am able to use to create datasets, train models and use them just fine.
azure ml studio allows creation of Jupyter notebooks (also) and use them to do machine learning. I am able to do that too.
So, now, I am wondering, can I build my ML pipeline/experiment in ML studio designer, and once it is in good shape, export it as a python and jupyter notebook? then, use it in the same designer provided notebook option or may be use it locally?
This is not currently supported, but I am 80% sure it is in the roadmap.
An alternative would be to use the SDK to create the same pipeline using ModuleStep
where I believe you can reference a Designer Module by its name to use it like a PythonScriptStep
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