Github user mans2singh commented on the issue:
https://github.com/apache/nifi/pull/2686
@ijokarumawak - I was thinking that the processor will be used as a
transformer (predictor) and there would be a correlation attribute in the flow
file which would be used to associate the results with the observations. This
will keep the focus on transformation with simple outputs while still allowing
the user the flexibility to use the correlation id to combine/enrich it with
other data using a enrichment processor. I've added test cases which show how
to use correlation id. What's your thought ?
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