Recently in the SAS Community Library: SAS' @Sundaresh1 highlights a sometimes overlooked task when applying document embeddings for purposes of similarity-based search. Normalisation of vectors helps obtain relevant matches.
macro generated code in the log from using the MPRINT option often appears as one long stream of continuous text. Is there a way to retain the indentation and hard returns from the original program code?
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I was trying to use tasks for the first time and they didn't work. I can click things, but it doesn't generate any code. Do I need to do something to enable them.
Will the Machine Learning tasks work without being licensed for Visual Machine Learning? Although, I can't get even the basic descriptive tasks to work.
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The course references this library:
libname locallib 'home/student/DMML35';
but I am working on my own machine so I don't have access to that library. Where should I save the course materials? I tried saving them my users folder
libname locallib '/Users/Training Materials';
But I get
ERROR: Library locallib does not exist.
I do see it on my list of libraries but I can't open it.
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Hi, Could you please give me some hints on how to generate this kind of density estimate graph? Which statements and options? Thank you so much!
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