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https://issues.apache.org/jira/browse/SOLR-8542?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15735251#comment-15735251
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Christine Poerschke commented on SOLR-8542:
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Hi Adeppa,
Just a quick note to say that the branch_6x commits below (and specifically the
"master-to-branch_6x backport changes" commit) might potentially help with the
compile time errors you describe.
In terms of official Solr 6.3 backporting of the LTR plugin, we do not plan to
backport to [branch_6_3|https://github.com/apache/lucene-solr/tree/branch_6_3]
but branch_6x will turn into "Solr 6.4" when the next release happens.
Regards,
Christine
> Integrate Learning to Rank into Solr
> ------------------------------------
>
> Key: SOLR-8542
> URL: https://issues.apache.org/jira/browse/SOLR-8542
> Project: Solr
> Issue Type: New Feature
> Reporter: Joshua Pantony
> Assignee: Christine Poerschke
> Priority: Minor
> Attachments: SOLR-8542-branch_5x.patch, SOLR-8542-trunk.patch,
> SOLR-8542.patch
>
>
> This is a ticket to integrate learning to rank machine learning models into
> Solr. Solr Learning to Rank (LTR) provides a way for you to extract features
> directly inside Solr for use in training a machine learned model. You can
> then deploy that model to Solr and use it to rerank your top X search
> results. This concept was previously [presented by the authors at Lucene/Solr
> Revolution
> 2015|http://www.slideshare.net/lucidworks/learning-to-rank-in-solr-presented-by-michael-nilsson-diego-ceccarelli-bloomberg-lp].
> [Read through the
> README|https://github.com/bloomberg/lucene-solr/tree/master-ltr-plugin-release/solr/contrib/ltr]
> for a tutorial on using the plugin, in addition to how to train your own
> external model.
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