When reviewing the material on the Machine Learning Toolkit, there are several mentions of extending SPL by using “over 300” open source algorithms. Is there a page that explains how to add algorithms, and any other requirements?
Yes, documentation on how to import open source algorithms available in the Python for Scientific Computing add-on into the Machine Learning Toolkit has been published here: http://docs.splunk.com/Documentation/MLApp/2.0.1/User/Customalgorithms
A video tutorial is also available here: https://www.youtube.com/watch?v=Ixg96J9JC8w&t=150s
How can I import the base.BaseAlgo classes and packages of Splunk ML Toolkit into my python workspace using an IDE like PyCharm
@praveenatwork
Hi Praveen,
I'm also trying to do the same. Could you guide me through
Yes, documentation on how to import open source algorithms available in the Python for Scientific Computing add-on into the Machine Learning Toolkit has been published here: http://docs.splunk.com/Documentation/MLApp/2.0.1/User/Customalgorithms
A video tutorial is also available here: https://www.youtube.com/watch?v=Ixg96J9JC8w&t=150s
The provided link to the youtube tutorial is marked as private. I am interested in any updated material on doing work with custom machine learning algorithms