🎉 🎉. RAPIDMINER 9.8 IS OUT!!! 🎉 🎉
RapidMiner 9.8 continues to innovate in data science collaboration, connectivity and governance
1): Codes mean something different for each attribute conversion I'm performing so I set up separate dictionaries for each. For instance 1 means male for gender but it also means white for race and single for marital status. Is there a way to use the loop operator to have RM run all 30+ conversions using the different dictionaries or do I need to have 30 separate "Replace (Dictionary)" operators in my process?
2): In some dictionaries there are layered codes, for instance in my use case
1 = Latino/Hispanic
4 = N/A
14 = Other Hispanic or Latino
Instead of returning "Other Hispanic or Latino" for codes that equal 14, the operator is returning "Latino/HispanicN/A". I've seen that the regular expression option could prevent this however since I have the operator set up to run on a subset (the various ethnicity related attributes) and I do not want it applied to the whole population, I'm not sure that'd work. How can I go about fixing this?