Splunk® Machine Learning Toolkit


Acrobat logo Download manual as PDF

Acrobat logo Download topic as PDF

Custom algorithms and PSC libraries version dependencies

Running version 5.0.0 or higher of the MLTK requires Splunk Enterprise 8.0 or later or Splunk Cloud. The Splunk Machine Learning Toolkit requires the Python for Scientific Computing (PSC) add-on.

  • Upgrading to version 5.0.0 or above of the MLTK requires upgrading to version 2.0 of the Python for Scientific Computing add-on.
  • Upgrading to version 4.5.0 of the MLTK requires version 1.4 of the Python for Scientific Computing add-on.
  • Upgrading to version 3.4.0 or above (4.0.0, 4.1.0, 4.2.0, 4.3.0, 4.4.0, 4.4.1, and 4.4.2) of the MLTK requires upgrading to version 1.3 of the Python for Scientific Computing add-on.

If you have written any custom algorithms that rely on the PSC libraries, upgrading to version 1.3 or 1.4 the PSC library add-on will impact those algorithms. You must re-train any models (re-run the search that used the fit command) using those algorithms after you upgrade the PSC add-on.

You cannot access new features in the MLTK without upgrading to the latest version of the toolkit. See the following dependencies table for the specific requirements between the MLTK and PSC add-on versions.

Specific version dependencies

For version information that includes MLTK, the PSC add-on, Python, and Splunk Enterprise, see Machine Learning Toolkit version dependencies matrix.

MLTK Version PSC Version
5.2.0 2.0.0, 2.0.1, or 2.0.2
5.1.0 2.0.0
5.0.0 2.0.0
4.5.0 1.4
4.4.2 1.3 or 1.4
4.4.1 1.3 or 1.4
4.4.0 1.3 or 1.4
4.3.0 1.3 or 1.4
4.2.0 1.3 or 1.4
4.1.0 1.3
4.0.0 1.3
3.4.0 1.3
3.3.0 1.2 or 1.3
3.2.0 1.2 or 1.3
3.1.0 1.2

Any algorithms that have been imported from the Python for Scientific Computing add-on into the Machine Learning Toolkit are overwritten when the MLTK app is updated to a new version. Prior to upgrading the MLTK , save your custom algorithms and re-import them manually after the upgrade.
Algorithms are stored in $SPLUNK_HOME/etc/apps/Splunk_ML_Toolkit/bin/algos on Unix-based systems and %SPLUNK_HOME%\etc\apps\Splunk_ML_Toolkit\bin\algos on Windows systems.

Last modified on 10 November, 2020
Savitzky-Golay Filter example
Learn more about the Machine Learning Toolkit

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 5.2.0

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