I have a PMML model which is created using IBM SPSS. It has optype=“categorical” while KNIME doesn’t uses this datatype as SPSS defines.
Columns/Features used in the model contain numbers but they are typified as Nominal and Ordinal in IBM SPSS and PMML shows them as Categorical.
I did look at some of the forum threads which mention to convert to string and then use domain calculator but when I do so, I get an error → column “ABC” in the table of prediction is expected to be numeric. If I don’t convert to string and then use domain calculator, I get an error- The column “ABC” is supposed to be nominal.
Can anyone suggest a solution?