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From "Gus Heck (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-11838) explore supporting Deeplearning4j NeuralNetwork models in contrib/ltr
Date Tue, 09 Jan 2018 21:48:00 GMT

    [ https://issues.apache.org/jira/browse/SOLR-11838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16319237#comment-16319237
] 

Gus Heck commented on SOLR-11838:
---------------------------------

Have had some recent DL4J work and was thinking about something like this though hadn't thought
about it in terms of LTR... was thinking in terms of streaming expressions etc. Is this meant
to only support this for re-ranking or for a more generic/train/validate/predict over using
the data that one already has in solr?

> explore supporting Deeplearning4j NeuralNetwork models in contrib/ltr
> ---------------------------------------------------------------------
>
>                 Key: SOLR-11838
>                 URL: https://issues.apache.org/jira/browse/SOLR-11838
>             Project: Solr
>          Issue Type: New Feature
>          Components: contrib - LTR
>            Reporter: Christine Poerschke
>         Attachments: SOLR-11838.patch
>
>
> [~yuyano] wrote in SOLR-11597:
> bq. ... If we think to apply this to more complex neural networks in the future, we will
need to support layers ...
> [~malcorn_redhat] wrote in SOLR-11597:
> bq. ... In my opinion, if this is a route Solr eventually wants to go, I think a better
strategy would be to just add a dependency on [Deeplearning4j|https://deeplearning4j.org/]
...
> Creating this ticket for the idea to be explored further (if anyone is interested in
exploring it), complimentary to and independent of the SOLR-11597 RankNet related effort.



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