hi all, I'm trying to use the mahout bayes method to solve some classifier problem. But I found the result is very bad. When I dived into source code, I found the prior class distribution was not considered into model ( for example 20-news case ). Was it supposed to do like this or a bug here?
P( c | d ) = p(c) * p(d|c)/p(d) = p(c) * p(t1|c)*p(t2|c)***p(tn|c) / p(d); here, the p(c) was ignored in real prediction progress. thanks, enyun
