[DOCS] Adds overview for machine learning rules and filters #84
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docs/en/stack/ml/rules.asciidoc
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| _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. By default, the scope of a rule is | ||
| unlimited and you must specify at least one condition. When the conditions of a |
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This might be a bit misleading as if scope is specified there could be no conditions.
docs/en/stack/ml/rules.asciidoc
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| domain-specific knowledge that you provide. When you create a rule, you can | ||
| specify conditions, scope, and actions. By default, the scope of a rule is | ||
| unlimited and you must specify at least one condition. When the conditions of a | ||
| rule are satisfied, its action is triggered. |
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its action is triggered -> its actions are triggered
docs/en/stack/ml/rules.asciidoc
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| rule are satisfied, its action is triggered. | ||
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| For example, if you have an anomaly detector that is analyzing CPU usage, you | ||
| might decide you are only interested in abnormally high usage. You can define a |
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abnormally high usage takes my mind to simply using a high variant of a function. I think it might be better to say something like "you might decide you are only interested in anomalies where the CPU usage is greater than a certain threshold".
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Thanks @dimitris-athanasiou, I've refreshed the preview with updates based on your comments. |
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Backported to 6.x via 9a7fbbf |
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Related to elastic/elasticsearch#32013
This PR adds a brief conceptual introduction of machine learning rules and filters in the Stack Overview.