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https://issues.apache.org/jira/browse/NIFI-5166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16510572#comment-16510572
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ASF GitHub Bot commented on NIFI-5166:
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Github user ijokarumawak commented on the issue:
https://github.com/apache/nifi/pull/2686
@mans2singh As long as we can construct useful flow with these components,
I am ok on how to do that.
By using correlation id, we can merge original FlowFile to the prediction
result. However I assume we need to write a custom code with ScriptedProcessor
to do something from there, if we want to do something within a NiFi flow.
Would you be able to provide a flow template featuring the processor with
input dataset to illustrate how correlation ids helps merging prediction result
to the original dataset?
> Create deep learning classification and regression processor
> ------------------------------------------------------------
>
> Key: NIFI-5166
> URL: https://issues.apache.org/jira/browse/NIFI-5166
> Project: Apache NiFi
> Issue Type: New Feature
> Components: Extensions
> Affects Versions: 1.6.0
> Reporter: Mans Singh
> Assignee: Mans Singh
> Priority: Minor
> Labels: Learning, classification,, deep, regression,
> Fix For: 1.7.0
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> We need a deep learning classification and regression processor.
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