Hi everyone, I’ve been trying to use pypmml inside my script node to load a pmml file from an SVM trainer, but when I try to classify something it returns only unfavourable predictions (model accuracy is 75% normally). I was wondering if someone has had this issue before and/or if I am either misusing pypmml or whether I have to do something in Knime other than simply saving the pmml file and opening it later.
For anyone who happens to stumble upon this: I realized the issue was very simply that I was using a model that requires data to be normalized but I was asking it to classify a dataset that was not normalized!
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