Custom algorithms and PSC libraries version dependencies
Version 5.7.4 of the AI Toolkit requires Splunk Enterprise 9.3.x or higher, or Splunk Cloud Platform.
The AI Toolkit also requires installation of the correct version of the Python for Scientific Computing (PSC) add-on from Splunkbase.
Note: Versions 3.3.0, 4.3.0, and higher of the PSC add-on are packaged with version 3.13 of Python.
Before you upgrade to a new version
CAUTION: When upgrading PSC ensure that you remove previous versions of PSC and perform a clean install.
Any algorithms that have been imported from the PSC add-on into the AI Toolkit are overwritten when the AI Toolkit app is updated to a new version. Prior to upgrading the AI Toolkit, save your custom algorithms and re-import them manually after the upgrade.
CAUTION: 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.