Abstract: This paper proposes a method to develop the multinomial logit (MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative ...

You'll incur some (small) loss of precision using the log version, but also you'll be able to handle much more complex multinomial distributions. This module ...

General naive Bayes classification is a classical machine learning technique to predict a discrete value. There are several variations of naive Bayes (NB) including Categorical NB, Bernoulli NB, ...

A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course. General naive Bayes classification ...

torch.multinomial only works on single and double dimension tensors, without giving ability for choosing probability dimension. Thus, multinomial is not directly usable on rnn output tensor, which has ...

Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...