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Posted to dev@lucene.apache.org by "Gus Heck (JIRA)" <ji...@apache.org> on 2018/01/09 21:48:00 UTC
[jira] [Commented] (SOLR-11838) explore supporting Deeplearning4j
NeuralNetwork models in contrib/ltr
[ 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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