Splunk® Machine Learning Toolkit

ML-SPL API Guide

Download manual as PDF

This documentation does not apply to the most recent version of MLApp. Click here for the latest version.
Download topic as PDF

Add an algorithm

To add a custom algorithm to the Splunk Machine Learning Toolkit, you must 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.
PREVIOUS
Introduction
  NEXT
Register an algorithm

This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 2.3.0, 2.4.0, 3.0.0, 3.1.0, 3.2.0, 3.3.0, 3.4.0, 4.0.0, 4.1.0, 4.2.0, 4.3.0


Was this documentation topic helpful?

Enter your email address, and someone from the documentation team will respond to you:

Please provide your comments here. Ask a question or make a suggestion.

You must be logged into splunk.com in order to post comments. Log in now.

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

0 out of 1000 Characters