When you use a data frame analytics job to perform classification or regression analysis, it creates a machine learning model that is trained and tested against a labelled data set. When you are satisfied with your trained model, you can use it to make predictions against new data.
To see your available models: Kibana>Machine Learning>Data Frame Analytics>Models
Alternatively, you can use APIs like get trained models.
The following example gets information for all the trained models:
Models trained in Elasticsearch are portable and can be transferred between clusters.
This post is part of a series that covers Artificial Intelligence with a focus on Elastic's (Creators of Elasticsearch, Kibana, Logstash and Beats) Machine Learning solution, aiming to introduce and exemplify the possibilities and options available, in addition to addressing the context and usability.