From 5813dfdcc7f6f77ebaf77f40e4e6e694b8038420 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Istv=C3=A1n=20Zolt=C3=A1n=20Szab=C3=B3?= Date: Thu, 23 Apr 2020 11:58:32 +0200 Subject: [PATCH] [7.x][DOCS] Adds ML related items to release highlights (#55652) --- .../release-notes/highlights-7.7.0.asciidoc | 47 ++++++++++++++++--- 1 file changed, 41 insertions(+), 6 deletions(-) diff --git a/docs/reference/release-notes/highlights-7.7.0.asciidoc b/docs/reference/release-notes/highlights-7.7.0.asciidoc index f5cc65321c4..75f0f8d2278 100644 --- a/docs/reference/release-notes/highlights-7.7.0.asciidoc +++ b/docs/reference/release-notes/highlights-7.7.0.asciidoc @@ -26,12 +26,47 @@ https://issues.apache.org/jira/browse/LUCENE-9300[corresponding issue]. // tag::notable-highlights[] [discrete] -=== {transforms-cap} +=== {transforms-cap} – now in GA! -We introduced {transforms} in 7.2.0 as a beta feature. It is now mature enough -to declare the feature GA (general availability). {transforms-cap} enable you to -pivot and summarize your data and store it in a new index. See -{ref}/transforms.html[{transforms-cap}] and -{ref}//transform-apis.html[{transform-cap} APIs]. +In 7.7, we move {transforms} from beta to general availability. + +{ref}/transforms.html[{transforms-cap}] enable you to pivot existing {es} +indices using group-by and aggregations into a destination feature index, which +provides opportunities for new insights and analytics. For example, you can use +{transforms} to pivot your data into entity-centric indices that summarize the +behavior of users or sessions or other entities in your data. + +{transforms-cap} now include support for cross-cluster search. Allowing you to +create your destination feature index on a separate cluster from the source +indices. + +Aggregation support has been expanded within {transforms} to include support for +{ref}/search-aggregations-metrics-percentile-aggregation.html[multi-value (percentiles)] +and +{ref}/search-aggregations-bucket-filter-aggregation.html[filter aggregations]. +We also optimized the performance of the +{ref}/search-aggregations-bucket-datehistogram-aggregation.html[date histogram aggregations]. // end::notable-highlights[] + +// tag::notable-highlights[] +[discrete] +=== Introducing multiclass {classification} + +{ml-docs}/dfa-classification.html[{classification-cap}] using multiple classes +is now available in {dfanalytics}. {classification-cap} is a supervised {ml} +technique which has been already available as a binary process in the previous +release. Multiclass {classification} works well with up to 30 distinct +categories. + +// end::notable-highlights[] + +// tag::notable-highlights[] +[discrete] +=== {feat-imp-cap} at {infer} time + +{feat-imp-cap} now can be calculated at {infer} time. This value provides +further insight into the results of a {classification} or {regression} job and +therefore helps interpret these results. + +// end::notable-highlights[] \ No newline at end of file