Splunk® Machine Learning Toolkit

ML-SPL API Guide

This documentation does not apply to the most recent version of Splunk® Machine Learning Toolkit. For documentation on the most recent version, go to the latest release.

Overview

To add a custom algorithm to the Splunk Machine Learning Toolkit, you need to write a python class and register it to the ML-SPL algorithm list. The algorithm class must implement certain methods which are outlined in the BaseAlgo class in $SPLUNK_HOME/etc/apps/Splunk_ML_Toolkit/bin/base.py.

These are the high level steps to import a new algorithm to the Splunk Machine Learning Toolkit:

  1. Register the algorithm.
  2. Create a python script file (.py file) for the algorithm.
  3. Write an algorithm class.
Last modified on 24 May, 2017
Introduction   Register an algorithm

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 2.2.0, 2.2.1

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