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
For information about the algorithms packaged with the Splunk Machine Learning Toolkit, see Algorithms in the Machine Learning Toolkit in the User Guide.
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, 4.5.0, 5.0.0, 5.1.0, 5.2.0, 5.2.1, 5.2.2, 5.3.0, 5.3.1, 5.3.3, 5.4.0
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