[DOCS] Add info about configuring ML (elastic/x-pack-elasticsearch#1497)

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Lisa Cawley 2017-05-19 13:40:50 -07:00 committed by GitHub
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[[ml-configuring]]
== Configuring Machine Learning
If you want to use {xpackml} features, there must be at least one {ml} node in
your cluster and all master-eligible nodes must have {ml} enabled. By default,
when you install {xpack}, all nodes are {ml} nodes. For more information about
these settings, see <<ml-settings>>.
To use the {xpackml} features to analyze your data, you must create a job and
send your data to that job.
* If your data is stored in {es}:
** You can create a {dfeed}, which retrieves data from {es} for analysis.
** You can use {kib} to expedite the creation of jobs and {dfeeds}.
* If your data is not stored in {es}, you can <<ml-post-data,POST data>> from any
source directly to an API.
The results of {ml} analysis are stored in {es} and you can use {kib} to help
you visualize and explore the results.
For a tutorial that walks you through these configuration steps,
see <<ml-getting-started>>.
//Though it is quite simple to analyze your data and provide quick {ml} results,
//gaining deep insights might require some additional planning and configuration.
//The scenarios in this section describe some best practices for generating useful
//{ml} results and insights from your data.
//* <<ml-configuring-aggregation>>
//include::aggregations.asciidoc[]

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include::overview.asciidoc[]
include::getting-started.asciidoc[]
include::configuring.asciidoc[]
// include::ml-scenarios.asciidoc[]
include::api-quickref.asciidoc[]
//include::troubleshooting.asciidoc[] Referenced from x-pack/docs/public/xpack-troubleshooting.asciidoc