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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? enter image description here

yeC
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628426
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    I am asking around.... but I couldn't come up with a "better" way to do this... My only thought is flipping the inputs and using a different join type MIGHT be better in some situations but I don't think it matters for yours... The only other option might be to use a "Execute Python Script" module and code what you want... but that doesn't sound easier to me – Dan Ciborowski - MSFT May 14 '15 at 11:32
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    Are you stuck with Azure's machine learning platform? There are other ways to skin the proverbial cat... – grill May 15 '15 at 22:24
  • @grill Thanks for your comment. No I think I could solve this problem with image processing but am trying our Azure ML. – 628426 May 18 '15 at 01:06
  • @DanCiborowski-MSFT Thanks for your comment. I think R or Python would suit as its more intuitive than a full outer join. – 628426 May 18 '15 at 01:07

1 Answers1

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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.

neerajkh
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  • Thanks for the answer. Are you able to post some skeleton (or ideally complete) R code to perform this task? – 628426 May 18 '15 at 01:07
  • Awarded bounty for best answer, some skeleton R code would be really helpful – 628426 May 18 '15 at 23:12