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[DOCS] Fix typo in AIOps Labs (#159045)

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Lisa Cawley 2023-06-05 14:52:44 -07:00 • committed by GitHub
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docs/user/ml/index.asciidoc
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@ -1,6 +1,8 @@
[role="xpack"]
[[xpack-ml]]
= {ml-cap}
:frontmatter-tags-products: [ml]
:frontmatter-tags-content-type: [overview]
:frontmatter-tags-user-goals: [analyze]
[partintro]
--
@ -33,6 +35,9 @@ information, refer to {ml-docs}/ml-limitations.html[{ml-cap}].
[[xpack-ml-anomalies]]
== {anomaly-detect-cap}
:frontmatter-tags-products: [ml]
:frontmatter-tags-content-type: [overview]
:frontmatter-tags-user-goals: [analyze]
The Elastic {ml} {anomaly-detect} feature automatically models the normal
behavior of your time series data — learning trends, periodicity, and more — in
@ -84,6 +89,9 @@ and {ml-docs}/ml-ad-overview.html[{ml-cap} {anomaly-detect}].
[[xpack-ml-dfanalytics]]
== {dfanalytics-cap}
:frontmatter-tags-products: [ml]
:frontmatter-tags-content-type: [overview]
:frontmatter-tags-user-goals: [analyze]
The Elastic {ml} {dfanalytics} feature enables you to analyze your data using
{classification}, {oldetection}, and {regression} algorithms and generate new
@ -101,6 +109,9 @@ For more information about the {dfanalytics} feature, see
[[xpack-ml-aiops]]
== AIOps Labs
:frontmatter-tags-products: [ml]
:frontmatter-tags-content-type: [overview]
:frontmatter-tags-user-goals: [analyze]
AIOps Labs is a part of {ml-app} in {kib} which provides features that use
advanced statistical methods to help you interpret your data and its behavior.
@ -130,7 +141,7 @@ the spike and displays them in a table. You can optionally choose to summarize
the results into groups. The table also shows an indicator of the level of
impact and a sparkline showing the shape of the impact in the chart. Hovering
over a row displays the impact on the histogram chart in more detail. You can
inspect a field in **Discover**, further investiage in **Log pattern analysis**,
inspect a field in **Discover**, further investigate in **Log pattern analysis**,
or copy the table row information as a query filter to the clipboard by
selecting the corresponding option under the **Actions** column. You can also
pin a table row by clicking on it then move the cursor to the histogram chart.