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Splunk MLTK Algorithms on GitHub
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Overview
Details
The Splunk GitHub for Machine learning app provides access to custom algorithms and is based on the Machine Learning Toolkit open source repo. Cloud customers can use GitHub algorithms via this app and need to create a support ticket to have this installed.
This app is based on Splunk GitHub for Machine learning Toolkit OpenSource repo initiative to encourage building a community around sharing and reusing Machine Learning algorithms .Custom algorithms using Machine learning Toolkit libraries can be added by adhering to ML-SPL API by using the libraries which comes with Python for scientific computing app.
For the latest version of this Add-on, see: https://github.com/splunk/mltk-algo-contrib
This app is based on Splunk GitHub for Machine learning Toolkit OpenSource repo initiative to encourage building a community around sharing and reusing Machine Learning algorithms .Custom algorithms using Machine learning Toolkit libraries can be added by adhering to ML-SPL API by using the libraries which comes with Python for scientific computing app.
For the latest version of this Add-on, see: https://github.com/splunk/mltk-algo-contrib
This app contains custom algorithms for use with the Splunk Machine Learning Toolkit.Custom algorithms can be added by adhering to the ML-SPL API. The API is a thin wrapper around machine learning estimators provided by libraries such as:
scikit-learn
statsmodels.
scipy
and custom algorithms.
Note that this app is a collection of custom algorithms only, and not any libraries.
Dependencies:
To use the custom algorithms contained in this app, you must have installed:
Splunk Machine Learning Toolkit
Python for Scientific Computing Add-on
Release Notes
Version 1.0
March 4, 2019