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For Loop implementation
sectyn
I'm looking to implement something like a 'for loop' in RapidMiner. The input to the 'for loop' will be a dataset of say 5 attributes. For each run of the 'for loop', I need to add one new attribute. So if the 'for loop' runs 5 times, I end up with a dataset of 10 attributes. With the Loop operator the dataset that goes into the loop is the initial one with 5 attributes. How do I append attributes for each run and get that new dataset with the additional attribute as the input for the next run of my Loop operator? Or should I be using some other operator for this?
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MartinLiebig
Hi,
you likely want to use the normal Loop with the "reuse results" option.
Best,
Martin
kayman
You can do as follows :
Use the loop operator -> Number of iterations = 5 and ensure you select 'reuse results'
In the loop operator add 'generate attribute' and use the iteration value (1 to 5) or use a macro to generate something more fancy.
Attached some example to get you started
process_community.rmp
All comments
MartinLiebig
Hi,
you likely want to use the normal Loop with the "reuse results" option.
Best,
Martin
kayman
You can do as follows :
Use the loop operator -> Number of iterations = 5 and ensure you select 'reuse results'
In the loop operator add 'generate attribute' and use the iteration value (1 to 5) or use a macro to generate something more fancy.
Attached some example to get you started
process_community.rmp
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