Custom algorithms and PSC libraries version dependencies
Version 5.4.2 of MLTK requires Splunk Enterprise 8.2.x or higher or Splunk Cloud Platform.
The Splunk Machine Learning Toolkit also requires installation of the correct version of the Python for Scientific Computing (PSC) add-on from Splunkbase.
Before you upgrade to a new version
Any algorithms that have been imported from the PSC 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.
If you have written any custom algorithms that rely on the PSC libraries, upgrading the PSC 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.
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.
Specific version dependencies
For version information that includes MLTK, the PSC add-on, Python, and Splunk platform, see Splunk Machine Learning Toolkit version dependencies in the Splunk Machine Learning Toolkit User Guide.
MLTK version PSC add-on version Splunk platform version 5.4.2 4.2.1 Splunk Enterprise 8.2.x, 9.0.x, 9.1.x, or 9.2.x, or Splunk Cloud Platform.
Upgrading to MLTK 5.4.2 might require model retraining. See, Upgrade the Splunk Machine Learning Toolkit.3.2.1 Splunk Enterprise 8.2.x, 9.0.x, 9.1.x, or 9.2.x, or Splunk Cloud Platform.
Upgrading to MLTK 5.4.2 might require model retraining. See, Upgrade the Splunk Machine Learning Toolkit.5.4.1 4.1.2 or 4.2.0 Splunk Enterprise 9.2.x or Splunk Cloud Platform
3.1.0, 3.2.0, 4.1.0, 4.1.2, or 4.2.0 Splunk Enterprise 8.1.x, 8.2.x, 9.0.0, 9.0.1, 9.0.5, or 9.1.0 or Splunk Cloud Platform
5.4.0 4.1.2 Splunk Enterprise 9.2.x or Splunk Cloud Platform
3.1.0, 4.1.0, or 4.1.2 Splunk Enterprise 8.2.x, 9.0.0, 9.0.1, 9.0.5, or 9.1.0 or Splunk Cloud Platform
5.3.3 3.0.2, 3.1.0, 4.0.0, 4.1.0, or 4.1.2 Splunk Enterprise 8.1.x, 8.2.x, or 9.0.0 or Splunk Cloud Platform
5.3.1 3.0.0, 3.0.1, or 3.0.2 Splunk Enterprise 8.0.x, 8.1.x, 8.2.x, or 9.0.0 or Splunk Cloud Platform
5.3.0 3.0.0, 3.0.1, or 3.0.2 Splunk Enterprise 8.0.x, 8.1.x, 8.2.x, or 9.0.0 or Splunk Cloud Platform
5.2.2 2.0.0, 2.0.1, or 2.0.2 Splunk Enterprise 8.0.x, 8.1.x, or 8.2.0 or Splunk Cloud Platform
5.2.1 2.0.0, 2.0.1, or 2.0.2 Splunk Enterprise 8.0.x, 8.1.x, or 8.2.0 or Splunk Cloud Platform
5.2.0 2.0.0, 2.0.1, or 2.0.2 Splunk Enterprise 8.0.x, 8.1.x, or 8.2.0 or Splunk Cloud Platform
5.1.0 2.0.0, 2.0.1, or 2.0.2 Splunk Enterprise 8.0.x or 8.1.x or Splunk Cloud Platform
5.0.0 2.0.0, 2.0.1, or 2.0.2 Splunk Enterprise 8.0.x or 8.1.x or Splunk Cloud Platform
Savitzky-Golay Filter example | Learn about the Splunk Machine Learning Toolkit |
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 5.4.2
Feedback submitted, thanks!