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I've a set of images that have a single classification of OPEN (they show something that is open). I couldn't find a way to directly add a status of open to the image reader dataset so I have FULL OUTER JOIN-ed a single ENTER DATA to an IMAGE READER as per the following. This seems like a hack, does anyone know the "right" way to do this?
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Create datasets with the studio Datasets created through Azure Machine Learning studio are automatically registered to the workspace. In your workspace, select the Datasets tab under Assets. On the Create dataset drop-down menu, select From Open Datasets. Select a dataset by selecting its tile.
Another way is to have R or python code that replicates the status for each image and then use add-columns. I think R/Python code to just replicate the status for each image may be easier and faster than outer join.
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