Splunk® Machine Learning Toolkit

ML-SPL API Guide

This documentation does not apply to the most recent version of Splunk® Machine Learning Toolkit. For documentation on the most recent version, go to the latest release.

ML-SPL API best practices

When writing algorithms, it is best to assume invalid input. If there is a parameter passed in, make sure you check that it is valid. If you require a particular field, for example, _time, make sure you check for its presence and error accordingly.

Last modified on 27 July, 2019
 

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.4.0

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