> Thanks, I got rid of _get_data_from_disk() now. Let me know if more
> comments to this one. I'm going ahead trying another example with
> naive_bayes. Then, the plan is to take snippets of code from these two
> examples and copy them into methods rtSVM() and rtNaiveBayes()

I don't think it's a good practice to have custom classes for every classifier.
Every classifier follows the same API in sklearn (fit, predict, partial_fit for
online settings like with SGDClassifier). You should pass a classifier instance
to something like RtClassifier