Learn more about the Machine Learning Toolkit
There are many opportunities and options to learn more about the MLTK.
- Download the Machine Learning Toolkit Quick Reference Guide for a handy cheat sheet of ML-SPL commands and machine learning algorithms used in the Splunk Machine Learning Toolkit. This document is also available in Japanese.
- The toolkit ships with several example datasets meaning you can practice machine learning concepts, or re-create the Showcase examples in your own instance before working with your own data.
- Watch Splunk Machine Learning Videos on our YouTube channel.
- Read more about machine learning tools in Splunk Machine Learning Blogs.
- Join the Splunk user group Slack channel.
- Sign up to learn more via Splunk Education. We recommend the Splunk course on Analytics and Data Science once you have mastered the fundamentals.
- Be part of the conversation on the Splunk Community page.
- Learn about new machine learning algorithms from the Splunk open source community, and help fellow users of the toolkit by joining the Splunk Community for MLTK on GitHub.
- If you are building a custom app using the Machine Learning Toolkit and want to install it in your cloud environment, see Splunk Cloud Platform vetting guidelines for apps.
Custom algorithms and PSC libraries version dependencies
Develop and package a custom machine learning model in MLTK
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.4.0, 4.4.1, 4.4.2, 4.5.0, 5.0.0, 5.1.0, 5.2.0, 5.2.1, 5.2.2, 5.3.0, 5.3.1, 5.3.3, 5.4.0, 5.4.1