OpenSearch/docs/en/settings/ml-settings.asciidoc

[role="xpack"]
[[ml-settings]]
=== Machine Learning Settings in Elasticsearch
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<titleabbrev>Machine Learning Settings</titleabbrev>
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You do not need to configure any settings to use {ml}. It is enabled by default.

[float]
[[general-ml-settings]]
==== General Machine Learning Settings

`xpack.ml.enabled`::
Set to `true` (default) to enable {ml} on the node. +
+
If set to `false` in `elasticsearch.yml`, the {ml} APIs are disabled on the node.
Therefore the node cannot open jobs, start {dfeeds}, or receive transport (internal)
communication requests related to {ml} APIs. It also affects all {kib} instances
that connect to this {es} instance; you do not need to disable {ml} in those
`kibana.yml` files. For more information about disabling {ml} in specific {kib}
instances, see
{kibana-ref}/ml-settings-kb.html[{kib} Machine Learning Settings].
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IMPORTANT: If you want to use {ml} features in your cluster, you must have
`xpack.ml.enabled` set to `true` on all master-eligible nodes. This is the
default behavior.

`node.ml`::
Set to `true` (default) to identify the node as a _machine learning node_. +
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If set to `false` in `elasticsearch.yml`, the node cannot run jobs. If set to
`true` but `xpack.ml.enabled` is set to `false`, the `node.ml` setting is
ignored and the node cannot run jobs. If you want to run jobs, there must be at
least one machine learning node in your cluster. +
+
IMPORTANT: On dedicated coordinating nodes or dedicated master nodes, disable
the `node.ml` role.

`xpack.ml.max_open_jobs`::
The maximum number of jobs that can run on a node. Defaults to `10`.