Known issues
Here are the known issues in each version of the Splunk Machine Learning Toolkit ML-SPL API:
Version 5.1.0
No known issues for version 5.1.0 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 5.0.0
No known issues for version 5.0.0 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 4.5.0
No known issues for version 4.5.0 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 4.4.2
No known issues for version 4.4.2 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 4.4.1
No known issues for version 4.4.1 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 4.4.0
No known issues for version 4.4.0 of the ML-SPL API. Use the following support resources if you encounter an issue.
For custom algorithm and PSC version dependencies, see Custom algorithm and PSC version dependencies.
- 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.
Version 4.3.0
No known issues for version 4.3.0 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 4.3 1.3 or 1.4 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 4.2.0
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.
- 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 4.2 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.
- 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
Support for the ML-SPL API |
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 5.1.0
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