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 Known Issues

Version 4.2.0

No known issues for version 4.2.0 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
4.2 1.3 or 1.4
4.1 1.3
4.0 1.3
3.4 1.3
3.3 1.2 or 1.3
3.2 1.2 or 1.3
3.1 1.2

Linux 32-bit support is not available should you upgrade to version 1.4 of the Python for Scientific Computing add-on.

Version 4.1.0

No known issues for version 4.1.0 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
4.1 1.3
4.0 1.3
3.4 1.3
3.3 1.2 or 1.3
3.2 1.2 or 1.3
3.1 1.2

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
4.0 1.3
3.4 1.3
3.3 1.2 or 1.3
3.2 1.2 or 1.3
3.1 1.2

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
3.4 1.3
3.3 1.2 or 1.3
3.2 1.2 or 1.3
3.1 1.2
Last modified on 31 May, 2019
Best Practices  

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.2.0

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