Splunk® Machine Learning Toolkit

ML-SPL API Guide

Acrobat logo Download manual as PDF


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.
Acrobat logo Download topic as PDF

ML-SPL API Known Issues

Version 4.0.0

No known issues for version 4.0.0 of the ML-SPL API. Please make use of the following support resources should you encounter an issue.

Specific version dependencies:

MLTK Version PSC Version
3.1 1.2
3.2 1.2 or 1.3
3.3 1.2 or 1.3
3.4 1.3
4.0 1.3

Version 3.4.0

Description

If you have written any custom algorithms that rely on the PSC libraries, upgrading to the new version of the PSC library (version 1.3) will impact those algorithms. You will need to re-train any models (re-run the search that used the fit command) using those algorithms after you upgrade PSC.

Specific version dependencies:

MLTK Version PSC Version
3.1 1.2
3.2 1.2 or 1.3
3.3 1.2 or 1.3
3.4 1.3
Last modified on 09 October, 2018
PREVIOUS
Best Practices
 

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.0.0


Was this documentation topic helpful?


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