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Machine Learning with the Elastic Stack

You're reading from   Machine Learning with the Elastic Stack Expert techniques to integrate machine learning with distributed search and analytics

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788477543
Length 304 pages
Edition 1st Edition
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Authors (2):
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Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
Rich Collier Rich Collier
Author Profile Icon Rich Collier
Rich Collier
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Toc

Table of Contents (12) Chapters Close

Preface Machine Learning for IT FREE CHAPTER Installing the Elastic Stack with Machine Learning Event Change Detection IT Operational Analytics and Root Cause Analysis Security Analytics with Elastic Machine Learning Alerting on ML Analysis Using Elastic ML Data in Kibana Dashboards Using Elastic ML with Kibana Canvas Forecasting ML Tips and Tricks Other Books You May Enjoy

Building the visualizations

Now that we have both raw data and some ML jobs completed on this data, let's begin the process of designing our own customized dashboard using a variety of standard Kibana visualization controls. But before we can do this, we need to let Kibana know that the ML results index exists, and that we want to plot data from this index.

Configuring the index pattern

To have Kibana recognize the data that's contained in the index that's storing the results of our ML jobs, we need to create an index pattern in the Management section of Kibana. Navigate to this part. Then, under the Kibana section, click on Index Patterns and then on Create index pattern.

In the Create index pattern UI, enable...

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