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[DOCS] Refer to rules feature as custom rules #102

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Aug 15, 2018
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[DOCS] Refer to rules feature as custom rules #102

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7 changes: 2 additions & 5 deletions docs/en/stack/ml/rules.asciidoc
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[role="xpack"]
[[ml-rules]]
=== Machine learning custom rules
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<titleabbrev>Custom Rules</titleabbrev>
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=== Custom rules

By default, as described in <<ml-analyzing>>, anomaly detection is unsupervised
and the {ml} models have no awareness of the domain of your data. As a result,
{ml} jobs might identify events that are statistically significant but are
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.
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