Add a custom algorithm to the Machine Learning Toolkit overview
To add a custom algorithm to the Splunk Machine Learning Toolkit, you must register the algorithm in the MLTK app, create a Python script file for the algorithm, and write a Python algorithm class. The algorithm class must implement certain methods which are outlined in the BaseAlgo class in
Coding is required to add a custom algorithm to the Splunk Machine Learning Toolkit. Development experience is an asset.
Custom algorithm examples
You can view end-to-end examples for the following custom algorithms:
About the ML-SPL API
Register an algorithm in the Machine Learning Toolkit
This documentation applies to the following versions of Splunk® Machine Learning Toolkit: 4.4.0, 4.4.1, 4.4.2, 5.0.0