I'm currently setting up a machine learning workflow. Part of the flow is that I calculate normalized values for some features i calculate within a loop (the features are generated by means of an external description from a matrix). I'm doing the normalization by using the normalizer (PMML) node, such that I can reuse the normalization factors from the training set for the test set. I planned to do this within a loop and to append the normalized columns to the original matrix.However I'd need for this a two port version of the Column Appender Loop end. So this one is sadly not available in Knime. Hence, I was wonderin wether someone implmented such a node or has a decent workaround?
... or do I have to code such a node myself? If so where can I find the source for the column appender Loop end node