This repository holds examples of custom algorithms that can be used with the Splunk Machine Learning Toolkit.
Many of the examples can also be found in the ML-SPL API Documentation.
This app does require that you alreay have the MLTK & Python for Scientific Computing add-on already installed.
The examples can be found in bin/examples.
This is more or less the most minimal example possible, as you'd expect.
This is a simple example showing abitrary data frame manipulation. In this case, we call panda's corr method on the data frame.
This is another example of an arbitrary data transformation - in this case, using a Savitzky-Golay filter on fields.
This shows how one might use some of the utility methods in the MLTK.
This shows how to inherit the main methods from the mixin classes.
This also shows using the mixin classes, in this case, with a more complex model.