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Introducing data visualization and modules in machine learning

Blog post from Elastic

Post Details
Company
Date Published
Author
Tom Grabowski • Pete Harverson • Pete Harverson
Word Count
314
Company Posts That Month
14
Language
-
Hacker News Points
-
Post removed?
No
Summary

In February 2018, Elasticsearch and X-Pack 6.1 introduced new features to streamline the creation of machine learning jobs, notably the data visualizer and machine learning (ML) modules. The data visualizer allows users to examine their indexes, offering insights into the metrics and fields within their data, such as field usage, document counts, and unique value occurrences. ML modules enhance user experience by providing predefined machine learning jobs, visualizations, and dashboards when the system recognizes specific field types in the indexes. These features aim to simplify the process of creating effective ML jobs, and users are encouraged to engage with the Discuss forums for feedback and questions. Access to X-Pack's machine learning capabilities requires an Elastic Platinum subscription, although users can try it for free by downloading and installing X-Pack.

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