Hello, My problem is to classify a set of 200k+ emails into approx. 2800 categories. Currently the method I am using is calculating tfidf and using LinearSVC() [with a good accuracy of 98%] for classification. The training time is ~30-60 min [~16g of mem, and doubles every 75000 mails]. I was wondering what would be the best way to introduce online learning in my current model? [And I am worried about how this solution would scale, especially since the number of categories is unbounded, or is definitely going to increase over time]. I do not have much experience with scikit, so have not explored all the paths, but if I am missing anything any help, suggestions would be appreciated. Thanks, Abhi
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