Unsupervised HMM training in NLTK

Question

I am just trying to do very simple unsupervised HMM training in nltk.

Consider:

import nltk
trainer = nltk.tag.hmm.HiddenMarkovModelTrainer()
from nltk.c         


        

Answer 1

I thought that this was this bug in NLTK:

http://code.google.com/p/nltk/source/diff?spec=svn8791&r=8791&format=side&path=/trunk/nltk/nltk/tag/hmm.py

http://code.google.com/p/nltk/issues/detail?id=681

However the error message "A Uniform probability distribution must have at least one sample." is different from the one you get from the bug.