Skip to content

Commit c2eb87c

Browse files
authored
[DOCS] Adds machine learning 6.4.0 highlights (#32861)
1 parent 3991ca0 commit c2eb87c

File tree

1 file changed

+17
-0
lines changed

1 file changed

+17
-0
lines changed

docs/reference/release-notes/highlights-6.4.0.asciidoc

+17
Original file line numberDiff line numberDiff line change
@@ -15,6 +15,22 @@ See also <<release-notes-6.4.0,{es} 6.4.0 release notes>>.
1515
* 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].
1616
* 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>>.
1717

18+
[float]
19+
=== Machine learning
20+
21+
* Improve your machine learning results with custom rules. If you want to fine
22+
tune your machine learning results (for example, to skip anomalies related to
23+
certain servers), you can now create custom rules in {kib} and by using {ml} APIs.
24+
Custom rules instruct anomaly detectors to change their behavior based on
25+
domain-specific knowledge that you provide. See
26+
{stack-ov}/ml-configuring-detector-custom-rules.html[Customizing detectors with custom rules]
27+
* The {ml} analytics can now detect specific change points in a time series,
28+
such as step changes, linear scaling, and time shifts (for example, related to
29+
daylight savings). There is also a new probability model that can predict when
30+
step changes might occur. As a result, the {ml} results are more robust and can
31+
make more accurate predictions when these types of changes are present in your
32+
data.
33+
1834
[float]
1935
=== Mappings
2036

@@ -41,3 +57,4 @@ changes ranges include https://github.com/elastic/elasticsearch/pulls?q=is%3Aclo
4157

4258
Specifically we want to highlight the https://github.com/elastic/elasticsearch/pull/30414[added support for AWS session tokens] to both
4359
the EC2 discovery plugin and the S3 repository plugins. This allows Elasticsearch to use AWS devices protected by multi factor authentication.
60+

0 commit comments

Comments
 (0)