WARNING: Version 6.2 of the Elastic Stack has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
There are a few concepts that are core to machine learning in X-Pack. Understanding these concepts from the outset will tremendously help ease the learning process.
A machine learning node is a node that has
node.ml set to
which is the default behavior. If you set
false, the node can
service API requests but it cannot run jobs. If you want to use X-Pack machine learning
features, there must be at least one machine learning node in your cluster. For more
information about this setting, see X-Pack Settings.