Splunk Cloud Platform

Search Manual

Machine Learning

This section describes the Splunk Machine Learning Toolkit. For a complete list of topics on detecting anomalies, finding and removing outliers, detecting patterns, and time series forecasting see About advanced statistics.

Splunk Machine Learning Toolkit

The Splunk Machine Learning Toolkit app delivers new SPL commands, custom visualizations, assistants, and examples to explore a variety of machine learning concepts.

Each assistant includes end-to-end examples with datasets, plus the ability to apply the visualizations and SPL commands to your own data. You can inspect the assistant panels and underlying code to see how it all works. See the Splunk Machine Learning Toolkit User Guide for information.

Last modified on 19 August, 2019
About time series forecasting   About event grouping and correlation

This documentation applies to the following versions of Splunk Cloud Platform: 8.2.2112, 8.2.2201, 8.2.2202, 8.2.2203, 9.0.2205, 9.0.2208, 9.0.2209, 9.0.2303, 9.0.2305, 9.1.2308, 9.1.2312, 9.2.2403, 9.2.2406 (latest FedRAMP release), 9.3.2408


Was this topic useful?







You must be logged into splunk.com in order to post comments. Log in now.

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

0 out of 1000 Characters