Naive Bayes classifiers are *a collection of classification algorithms based on Bayes' Theorem*. It is not a single algorithm but a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. Regards: Rarest philodendron <https://plantsinsights.com/philodendron-spiritus-sancti/> On Thursday, November 24, 2011 at 9:22:35 AM UTC-8 Jake Brukhman wrote:
> Hey Dmitry, thanks for the resources, I'll look into implementing one > of these methods. > > > On Nov 24, 6:50 am, Dmitry Chestnykh <dch...@gmail.com> wrote: > > On Wednesday, November 23, 2011 5:41:07 PM UTC+1, Jake wrote: > > > > > In terms of functionality, do you recommend going to float64, then? > > > > This would help a bit until you underflow float64 :-) > > > > Here are some resources: > > > > > 1.https://en.wikipedia.org/wiki/Bayesian_spam_filtering#Other_expressio. > .. > > 2.http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-cla. > .. > > 3.http://stackoverflow.com/questions/2691021/problem-with-precision-flo. > .. > > > > -Dmitry > -- You received this message because you are subscribed to the Google Groups "golang-nuts" group. To unsubscribe from this group and stop receiving emails from it, send an email to golang-nuts+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/golang-nuts/660d00b2-101c-4535-93e4-1e96627030e7n%40googlegroups.com.
