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.

• For a list view of features included by release version, see What's new in the Machine Learning Toolkit.
• For installation information including links to Splunkbase for required add-ons, see Upgrade the Machine Learning Toolkit.

The MLTK requires installation of the Python for Scientific Computing (PSC) add-on. Refer to the following table to ensure you are running the correct version of the MLTK, PSC, Python, and Splunk Enterprise.

MLTK version	PSC add-on version	Python version	Splunk Enterprise version	Notes
5.1.0	2.0.0, 2.0.1, or 2.0.2	3	8.0.x or 8.1.x	This version of the 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 the MLTK is 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 the 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 the 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.

Versions 2.0.2 and 2.0.1 of the PSC add-on are limited to minor library upgrades from version 2.0.0. There are no differences in functionality to version 2.0.0 of the PSC add-on.