ML-SPL API Known Issues
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.
- Ask questions and get answers through community support at Splunk Answers.
- If you have a support contract, submit a case using the Splunk Support Portal.
- For general Splunk platform support, see the Splunk Support Programs page.
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.
- Ask questions and get answers through community support at Splunk Answers.
- If you have a support contract, submit a case using the Splunk Support Portal.
- For general Splunk platform support, see the Splunk Support Programs page.
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
Best Practices |
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.1.0
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