For Loop implementation

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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Accepted answers

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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