About the Splunk Machine Learning Toolkit
The Splunk Machine Learning Toolkit delivers SPL commands, custom visualizations, assistants, and examples to explore a variety of machine learning concepts.
To get new users started, the Splunk Machine Learning Toolkit (MLTK) offers a Showcase, where you can see Assistants which walk through examples with sample datasets. Through the Showcase you can inspect the SPL and underlying code of the resulting panels on the sample datasets, to see how it all works. Enabling users with the ability to apply the visualizations and SPL commands to their own data.
Download the Machine Learning Toolkit Quick Reference Guide for a handy cheat sheet of ML-SPL (Machine Learning - Search Processing Language) commands and machine learning algorithms used in the Splunk Machine Learning Toolkit.
ML-SPL Performance App for Machine Learning Toolkit
A companion app to the Splunk Machine Learning Toolkit called the ML-SPL Performance App for Machine Learning Toolkit, provides performance testing results for each algorithm implemented in ML-SPL in a test environment.
Download the ML-SPL Performance App for Machine Learning Toolkit to use these performance results for guidance and benchmarking purposes in your own environment.
Support
See Questions related to Splunk Machine Learning Toolkit on Splunk Answers.
To log a support case about the Splunk Machine Learning Toolkit, use the Splunk Support Portal.
For general Splunk platform support, see the Splunk Support Programs page.
Install the Splunk Machine Learning Toolkit |
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 3.2.0, 3.3.0
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