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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?
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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
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How can I import the base.BaseAlgo classes and packages of Splunk ML Toolkit into my python workspace using an IDE like PyCharm
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@praveenatwork
Hi Praveen,
I'm also trying to do the same. Could you guide me through
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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
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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
