How to use SVM trained on Weka for real time processing with python

Question

I'm having trouble figuring out how to use a support vector machine trained on Weka for real time processing with python.

For example when you train a back propagation algorithm on Matlab, you can extract the weights and biases and use them to replicate the network on other programs (eg python) in feed-forward.

Thanks for your suggestions.

Answer 1

Assuming you want to continue using Python and Weka, the easiest way is to just call the Weka command line using subprocess (see https://docs.python.org/2/library/subprocess.html ). You can then train and save your models and use them as needed. See this reference: https://weka.wikispaces.com/Saving+and+loading+models