[R] GLM: Classification problem. Help!

Hello, I need help with this. Let's say that I have n features that I want to use to predict which class an observation belongs to. Using training data I try to do the following: > training$result <- as.factor(training$result) > model <- glm(result ~., family=binomial("logit"), data = training)

Re: [R] Re current neural network (RNN) package?

Still need assistance with this topic, so if anybody knows, please reply! J_Laberga wrote: > > Hello, > > I'm trying to tackle a problem that would require the implementation of a > recurrent NN. However, even though the CRAN is very big, I can’t seem to > find a

[R] Re current neural network (RNN) package?

Hello, I'm trying to tackle a problem that would require the implementation of a recurrent NN. However, even though the CRAN is very big, I can’t seem to find a package for this. Does anybody here know if one exits? BR, John -- View this message in context: http://www.nabble.com/Recurrent-neu