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Alex Ksikes d339ee4005 Term Vectors: terms filtering 
This adds a new feature to the Term Vectors API which allows for filtering of
terms based on their tf-idf scores. With `dfs` option on, this could be useful
for finding out a good characteric vector of a document or a set of documents.
The parameters are similar to the ones used in the MLT Query.

Closes #9561
 		2015-04-14 19:11:09 +02:00
..
community Docs: Include groovy community 2015-04-08 11:46:05 +02:00
groovy-api Updated groovy docs to point to the new groovy repo 2014-05-14 12:08:02 +02:00
java-api [DOCS] update versions in java api module.xml 2015-04-07 18:10:53 +02:00
javascript Updated copyright years to include 2015 2015-02-28 03:18:45 +01:00
perl Docs: Minor test change to Perl docs 2015-02-28 17:19:55 +01:00
python Updated copyright years to include 2015 2015-02-28 03:18:45 +01:00
reference Term Vectors: terms filtering 2015-04-14 19:11:09 +02:00
resiliency Doc: Updates to resiliency page for 1.5.0/1 2015-04-14 15:30:33 +02:00
river Warning in documentation for deprecation of rivers 2015-04-05 20:54:26 +02:00
ruby typo in ruby docs 2015-04-05 15:14:40 +02:00
README.md Update README.md 2015-04-07 10:31:48 +02:00

README.md

The Elasticsearch docs are in AsciiDoc format and can be built using the Elasticsearch documentation build process

See: https://github.com/elastic/docs