Splunk® Machine Learning Toolkit

User Guide

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Machine Learning Toolkit version dependencies

The Machine Learning Toolkit (MLTK) releases updates on a regular schedule. Keep your instance of the MLTK and affiliated add-ons up-to-date to access the latest features.

Upgrading to a 5.3.x version of MLTK from a 5.2.x version of MLTK requires the retraining of any old models.

About the PSC add-on

MLTK requires installation of the Python for Scientific Computing (PSC) add-on.

You must use version 5.3.3 of MLTK to use version 4.0.0 of the PSC add-on.

Version 4.0.0 of the Python for Scientific Computing (PSC) add-on provides updates and adds several libraries in the package. In particular, Pytorch, cpuonly, transformers, onnxruntime, pydantic, and watchdog.

The build size of the PSC add-on version 4.0.0 might exceed the default value of max_upload_size which can prevent you from installing the package using the Install app from file option under Manage Apps. To install PSC 4.0.0 you must create a web.conf file , update max_upload_size to a higher value, and restart Splunk from your terminal. See Install version 4.0.0 of the Python for Scientific Computing add-on.

Version 3.0.2 of the Python for Scientific Computing (PSC) add-on is limited to bug fixes only. Version 3.0.1 of the Python for Scientific Computing (PSC) add-on is limited to configuration updates for deployment on Splunk Cloud Platform.

Version 3.0.0 of the Python for Scientific Computing (PSC) add-on brings updates to several libraries in the package. In particular, Numpy, Scipy, scikit-learn, Statsmodels, and Networkx are upgraded to their latest available versions.

If you have 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.

Version matrix

See the following table for the compatible combinations of the MLTK, the PSC add-on, Python, and Splunk Enterprise:

MLTK version PSC add-on version Python version Splunk Enterprise version Notes
5.3.3 3.0.2 or 4.0.0 3 8.1.x, 8.2.x, or 9.0.0 Version 4.0.0 of the PSC add-on requires additional installation steps. See, Install version 4.0.0 of the PSC add-on.

Deprecated support of Internet Explorer.

5.3.1 3.0.0, 3.0.1, or 3.0.2 3 8.0.x, 8.1.x, 8.2.x, or 9.0.0 Version 3.0.2 of the PSC add-on is limited to bug fixes.
5.3.0 3.0.0, 3.0.1, or 3.0.2 3 8.0.x, 8.1.x, 8.2.x, or 9.0.0 This version of MLTK requires version 3.0.0, 3.0.1, or 3.0.2 of the PSC add-on. Users upgrading to this version must retrain models created in earlier versions of the MLTK.
5.2.2 2.0.0, 2.0.1, or 2.0.2 3 8.0.x, 8.1.x, or 8.2.0 This version of MLTK is limited to a minor enhancement.
5.2.1 2.0.0, 2.0.1, or 2.0.2 3 8.0.x, 8.1.x, or 8.2.0 This version of MLTK is limited to a minor enhancement.
5.2.0 2.0.0, 2.0.1, or 2.0.2 3 8.0.x, 8.1.x, or 8.2.0 This version of MLTK is available with Splunk Enterprise version 8.0.x, 8.1.x, or 8.2.0.
5.1.0 2.0.0, 2.0.1, or 2.0.2 3 8.0.x or 8.1.x This version of MLTK is available with Splunk Enterprise version 8.0.x or 8.1.x.
5.0.0 2.0.0, 2.0.1, or 2.0.2 3 8.0.x or 8.1.x This version of MLTK is only available with Splunk Enterprise version 8.0.x or 8.1.x. Users upgrading to this version must retrain models created in earlier versions of MLTK. The file extension for models has changed from .csv to .mlmodel.
4.5.0 1.4 2.x 7.x This version includes all the features of version 5.0.0 barring the support of the random_state parameter of the DensityFunction anomaly detection algorithm. Models created in earlier versions of MLTK maintain compatibility and do not require retraining.
4.4.2 1.4 or 1.3 2.x 7.x No new features from version 4.4.1. PSC version 1.4 recommended.
4.4.1 1.4 or 1.3 2.x 7.x PSC version 1.4 recommended.
4.4.0 1.4 or 1.3 2.x 7.x PSC version 1.4 recommended.
Last modified on 12 August, 2022
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This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 5.3.3


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