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"Problem inbedding operator within Feature Selection"
I'm trying to use the Feature Selection operator to whittle down a list of the best attributes in a dataset. However, no matter what supervised learner operator I use to learn on within Feature Selection, I get an error message: "Error in: Binary2MultiClassLearner (Binary2MultiClassLearner) Input example set has no attributes Learning methods require the input example sets to have at least one attribute. If this not the case, applying these operators is pointless. Certain operators like feature selection operators may switch off all attributes. If this happens, learning schemes cannot be applied."
The problem is my dataset has 997 attributes (according to the data view if I place a breakpoint just prior to stepping into the Feature Selection operator). Do I have something set up wrong? My code is attached.
Thanks for the help!
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