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* [DOCS] Add ML info about script fields * [DOCS] Add links to ML script fields page * [DOCS] Add ML API examples to transforms.asciidoc * [DOCS] Addressed feedback in ML script field examples * [DOCS] Add preview to ML script fields example * [DOCS] Expanded code snippets in ML transform examples * [DOCS] Add output for ML scripted fields example * [DOCS] Add output for more ML scripted field examples * [DOCS] Add output for final ML scripted field examples * [DOC] Add Kibana details for ML script fields * [DOCS] Remove example from ML transforms Original commit: elastic/x-pack-elasticsearch@51057b029f
40 lines
1.4 KiB
Plaintext
40 lines
1.4 KiB
Plaintext
[[ml-configuring]]
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== Configuring Machine Learning
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If you want to use {xpackml} features, there must be at least one {ml} node in
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your cluster and all master-eligible nodes must have {ml} enabled. By default,
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when you install {xpack}, all nodes are {ml} nodes. For more information about
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these settings, see <<xpack-settings>>.
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To use the {xpackml} features to analyze your data, you must create a job and
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send your data to that job.
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* If your data is stored in {es}:
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** You can create a {dfeed}, which retrieves data from {es} for analysis.
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** You can use {kib} to expedite the creation of jobs and {dfeeds}.
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* If your data is not stored in {es}, you can
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{ref}/ml-post-data.html[POST data] from any source directly to an API.
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The results of {ml} analysis are stored in {es} and you can use {kib} to help
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you visualize and explore the results.
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For a tutorial that walks you through these configuration steps,
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see <<ml-getting-started>>.
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Though it is quite simple to analyze your data and provide quick {ml} results,
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gaining deep insights might require some additional planning and configuration.
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The scenarios in this section describe some best practices for generating useful
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{ml} results and insights from your data.
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* <<ml-configuring-aggregation>>
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* <<ml-configuring-categories>>
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* <<ml-configuring-pop>>
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* <<ml-configuring-transform>>
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include::aggregations.asciidoc[]
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include::categories.asciidoc[]
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include::populations.asciidoc[]
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include::transforms.asciidoc[]
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