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[DOCS] Adds machine learning 6.4.0 highlights #32861

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Aug 15, 2018
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[DOCS] Adds machine learning 6.4.0 highlights #32861

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17 changes: 17 additions & 0 deletions docs/reference/release-notes/highlights-6.4.0.asciidoc
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Expand Up @@ -15,6 +15,22 @@ See also <<release-notes-6.4.0,{es} 6.4.0 release notes>>.
* Korean analysis tools - A new plugin has been added which provides analysis tools for the Korean language. The new `nori` analyzer can be used to analyze Korean text "out of the box" and custom analyzers can use a tokenizer, part of speech token filter and a Hanja reading form token filter. For more information, see {plugins}/analysis-nori.html[Nori Plugin].
* Add multiplexing token filter - This new token filter allows you to run tokens through multiple different tokenfilters and stack the results. For example, you can now easily index the original form of a token, its lowercase form and a stemmed form all at the same position, allowing you to search for stemmed and unstemmed tokens in the same field. For more information, see <<analysis-multiplexer-tokenfilter,Multiplexer token filter>>.

[float]
=== Machine learning

* Improve your machine learning results with custom rules. If you want to fine
tune your machine learning results (for example, to skip anomalies related to
certain servers), you can now create custom rules in {kib} and by using {ml} APIs.
Custom rules instruct anomaly detectors to change their behavior based on
domain-specific knowledge that you provide. See
{stack-ov}/ml-configuring-detector-custom-rules.html[Customizing detectors with custom rules]
* The {ml} analytics can now detect specific change points in a time series,
such as step changes, linear scaling, and time shifts (for example, related to
daylight savings). There is also a new probability model that can predict when
step changes might occur. As a result, the {ml} results are more robust and can
make more accurate predictions when these types of changes are present in your
data.

[float]
=== Mappings

Expand All @@ -41,3 +57,4 @@ changes ranges include https://github.com/elastic/elasticsearch/pulls?q=is%3Aclo

Specifically we want to highlight the https://github.com/elastic/elasticsearch/pull/30414[added support for AWS session tokens] to both
the EC2 discovery plugin and the S3 repository plugins. This allows Elasticsearch to use AWS devices protected by multi factor authentication.