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https://issues.apache.org/jira/browse/SOLR-11597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16324703#comment-16324703
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Christine Poerschke commented on SOLR-11597:
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Returning to this after Deeplearning4J SOLR-11838 and Streaming Expressions
SOLR-11852 diversions ...
So, would it be fair to assume that there is a use case for this type of neural
network separate from the more complex neural networks that might in future be
supported separately e.g. via Deeplearning4J integration?
Assuming there is a use case, how would folks typically train such models? I'm
wondering if that would help us move forward and decide on the weights
representation question.
> Implement RankNet.
> ------------------
>
> Key: SOLR-11597
> URL: https://issues.apache.org/jira/browse/SOLR-11597
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: contrib - LTR
> Reporter: Michael A. Alcorn
>
> Implement RankNet as described in [this
> tutorial|https://github.com/airalcorn2/Solr-LTR].
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