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Alan Woodward fbd05167f4
LUCENE-3041: QueryVisitor (#581) 
This commit adds an introspection API to Query, allowing users to traverse
the nested structure of a query and examine its leaves.  It replaces the existing
`extractTerms` method on Weight, and alters some highlighting code to use
the new API
 		2019-03-14 15:04:33 +00:00
..
example SOLR-10494: Make default response format JSON (wt=json), and also indent text responses formats (indent=on) by default 2017-07-24 08:42:02 -07:00
src LUCENE-3041: QueryVisitor (#581) 2019-03-14 15:04:33 +00:00
README.md SOLR-10842: Convert all remaining {{quickstart.html}} links to {{guide/solr-tutorial.html}}; remove all references to quickstart from the build; and version the link to the ref guide's tutorial in Solr's versioned top-level documentation page. 2017-10-04 15:25:20 -04:00
README.txt SOLR-8542: Adds Solr Learning to Rank (LTR) plugin for reranking results with machine learning models. (Michael Nilsson, Diego Ceccarelli, Joshua Pantony, Jon Dorando, Naveen Santhapuri, Alessandro Benedetti, David Grohmann, Christine Poerschke) 2016-11-01 17:50:14 +00:00
build.xml SOLR-11250: A new DefaultWrapperModel class for loading of large and/or externally stored LTRScoringModel definitions. (Yuki Yano, shalin, Christine Poerschke) 2017-11-28 14:55:57 +00:00
ivy.xml SOLR-11250: A new DefaultWrapperModel class for loading of large and/or externally stored LTRScoringModel definitions. (Yuki Yano, shalin, Christine Poerschke) 2017-11-28 14:55:57 +00:00

README.md

Welcome to Apache Solr Learning to Rank!

Apache 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.

Getting Started With Solr Learning To Rank

For information on how to get started with solr ltr please see:

Getting Started With Solr

For information on how to get started with solr please see:

How To Contribute

For information on how to contribute see: