I have a question about writing a prediction query against a clustering model that has the same column added more than once.
Per Jamie, I can accomplish some crude weighting by adding a column to my model multiple times. See this post for an explnation... Now that I have that worked out, I was wondering how my DM query would look? If I have Input_A1, Input_A2 , & Input_A3 all being source from the same column in my structure do I have to reference all three when writing my prediction query?
to be most theoretically accurate, yes, however, I would check to see how the results change for your particular model as you change inputs. If you don't have any missing data, it may not make a significant difference.sql
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