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Christine Poerschke eb2a8ba2ee SOLR-8542: README and solr/contrib/ltr/example changes

details:
* reduced README in favour of equivalent Solr Ref Guide content and (new) example/README
* solr/contrib/ltr/example improvements and fixes

also:
* stop supporting '*' in Managed(Feature|Model)Store.doDeleteChild

2017-01-04 17:12:38 +00:00

example

SOLR-8542: README and solr/contrib/ltr/example changes

2017-01-04 17:12:38 +00:00

src

SOLR-8542: README and solr/contrib/ltr/example changes

2017-01-04 17:12:38 +00:00

build.xml

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

ivy.xml

2016-11-01 17:50:14 +00:00

README.md

SOLR-8542: README and solr/contrib/ltr/example changes

2017-01-04 17:12:38 +00:00

README.txt

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 Result Reranking

Getting Started With Solr

For information on how to get started with solr please see: solr/README.txt Solr Quick Start

How To Contribute

For information on how to contribute see: http://wiki.apache.org/lucene-java/HowToContribute http://wiki.apache.org/solr/HowToContribute