Large scale naïve Bayes classifier with top-k output

问题

I need a library for naïve Bayes large scale, with millions of training examples and +100k binary features. It must be an online version (updatable after training). I also need top-k output, that is multiple classifications for a single instance. Accuracy is not very important.

The purpose is an automatic text categorization application.

Any suggestions for a good library is very appreciated.

EDIT: The library should preferably be in Java.

回答1:

If a learning algorithm other than naïve Bayes is also acceptable, then check out Vowpal Wabbit (C++), which has the reputation of being one of the best scalable text classification algorithms (online stochastic gradient descent + LDA). I'm not sure if it does top-K output.

来源：https://stackoverflow.com/questions/6663606/large-scale-na%c3%afve-bayes-classifier-with-top-k-output