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- [float ]
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+ [role="xpack" ]
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[[ml-nodes]]
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=== Machine learning nodes
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A {ml} node is a node that has `xpack.ml.enabled` and `node.ml` set to `true`,
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which is the default behavior. If you set `node.ml` to `false`, the node can
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service API requests but it cannot run jobs. If you want to use {xpackml}
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features, there must be at least one {ml} node in your cluster. For more
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- information about this setting , see
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- {ref}/ml-settings .html[{ml} settings in {es} ].
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+ information, see
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+ {ref}/modules-node .html#ml-node[Machine learning node ].
Original file line number Diff line number Diff line change @@ -9,14 +9,4 @@ include::jobs.asciidoc[]
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include::datafeeds.asciidoc[]
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include::buckets.asciidoc[]
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include::calendars.asciidoc[]
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-
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- [[ml-concepts]]
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- === Basic Machine Learning Terms
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- ++++
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- <titleabbrev>Basic Terms</titleabbrev>
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- ++++
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-
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- There are a few concepts that are core to {ml} in {xpack}. Understanding these
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- concepts from the outset will tremendously help ease the learning process.
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-
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include::architecture.asciidoc[]
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