Github user ijokarumawak commented on the issue:
https://github.com/apache/nifi/pull/2686
Hi @mans2singh
Thanks for sharing the templates. I will try it later but I understand how
it works by using RDMBS to join input data and classification results.
I think we need to provide more toolset so that people can use DL4J easily
from NiFi flows. So a couple of points for further discussion:
1. Have you ever considered a DL4J component implementing RecordLookup
interface so that LookupRecord processor? I've mentioned about this before.
Once we provide this pattern, RDBMS is no longer required to use evaluation
result in later flow.
2. How would NiFi user convert a raw data (CSV, text, images, audio ...
etc) into vector format that can be fed to DL4J Networks? I haven't explored
yet myself, but can we provide some other Processors or RecordReader/Writers to
do vectorization process, probably using DataVec?
https://deeplearning4j.org/datavec
I will ask dev ML to see if there's anyone to join the review process, too.
Thanks!
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