Special role attribute in applying model
I notice that the apply operator requires that attributes in the unlabelled dataset to correspond exactly to attributes in the training dataset used for defining the model, even if the attributes have a customized special role. I would have expected that only regular attributes have to match (plus possibly weight attributes) as in my understanding modelling works only with regular attributes, the label attribute and possibly some weight attributes. I would like to know whether this is correct, or if attributes with a customized role impact modelling... If they don't, why does the apply oprator request them? Thanks in advance for your hints!