Hello, I've been playing around with the Perceptron class in scikit-learn. I have a theoretical understanding of the perceptron algorithm. In sklearn it has been subclassed from the SGDClassifier class, very different from how I would have expected the perceptron to be implemented (I'd have thought it was simply something like this - http://en.wikipedia.org/wiki/Perceptron#Learning_algorithm_steps).
Anyhow, I have some questions about the methods used in the SGDClassifier class. Would it be better if I asked them here on the list or should I comment on the code in github? I would prefer the latter, since I have a feeling that the discussion might grow long. Thanks ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
