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From "ASF subversion and git services (JIRA)" <>
Subject [jira] [Commented] (SOLR-8542) Integrate Learning to Rank into Solr
Date Thu, 08 Dec 2016 18:45:01 GMT


ASF subversion and git services commented on SOLR-8542:

Commit 3e2657214e103290142d0facfc860cb01f6e033e in lucene-solr's branch refs/heads/branch_6x
from [~cpoerschke]
[;h=3e26572 ]

SOLR-8542: couple of tweaks (Michael Nilsson, Diego Ceccarelli, Christine Poerschke)

* removed code triplication in ManagedModelStore
* tweaks
* FeatureLogger.makeFeatureVector(...) can now safely be called repeatedly (though that doesn't
happen at present)
* make Feature.FeatureWeight.extractTerms a no-op; (OriginalScore|SolrFeature)Weight now implement

* LTRThreadModule javadocs and tweaks

* add TestFieldValueFeature.testBooleanValue test; replace "T"/"F" magic string use in FieldValueFeature
* add TestOriginalScoreScorer test; add OriginalScoreScorer.freq() method
* in TestMultipleAdditiveTreesModel revive dead explain test

> Integrate Learning to Rank into Solr
> ------------------------------------
>                 Key: SOLR-8542
>                 URL:
>             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|].
> [Read through the README|]
for a tutorial on using the plugin, in addition to how to train your own external model.

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