From 2f533930ca784b76719b32180f621316052d2167 Mon Sep 17 00:00:00 2001 From: lcawl Date: Fri, 10 Aug 2018 10:14:24 -0700 Subject: [PATCH] [DOCS] Refer to rules feature as custom rules --- docs/en/stack/ml/rules.asciidoc | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/docs/en/stack/ml/rules.asciidoc b/docs/en/stack/ml/rules.asciidoc index dad9654ee..017a0863b 100644 --- a/docs/en/stack/ml/rules.asciidoc +++ b/docs/en/stack/ml/rules.asciidoc @@ -1,9 +1,6 @@ [role="xpack"] [[ml-rules]] -=== Machine learning custom rules -++++ -Custom Rules -++++ +=== Custom rules By default, as described in <>, anomaly detection is unsupervised and the {ml} models have no awareness of the domain of your data. As a result, @@ -11,7 +8,7 @@ and the {ml} models have no awareness of the domain of your data. As a result, uninteresting when you know the larger context. Machine learning custom rules enable you to customize anomaly detection. -_Rules_ instruct anomaly detectors to change their behavior based on +_Custom rules_ instruct anomaly detectors to change their behavior based on domain-specific knowledge that you provide. When you create a rule, you can specify conditions, scope, and actions. When the conditions of a rule are satisfied, its actions are triggered.