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History

LUCENE-8279: fix javadocs wrong header levels and accessibility issues

Java 13 adds a new doclint check under "accessibility" that the html
header nesting level isn't crazy.

Many are incorrect because the html4-style javadocs had horrible
font-sizes, so developers used the wrong header level to work around it.
This is no issue in trunk (always html5).

Java recommends against using such structured tags at all in javadocs,
but that is a more involved change: this just "shifts" header levels
in documents to be correct.

2020-02-08 10:00:00 -05:00

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-8279: fix javadocs wrong header levels and accessibility issues

2020-02-08 10:00:00 -05:00

build.gradle

LUCENE-9182: add apache license headers to all .gradle files and enforce in rat task

2020-01-27 12:05:34 -05:00

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

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

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:

Solr Reference Guide's section on Learning To Rank

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: