Namespaces are one honking great idea
more consistent variable names
TMP: vectorize _forward_probability
hmm: update_outputs flag for train_unsupervised
show baseline in BW demo
vectorize _backward_probability
vectorize Baum-Welch step
more vectorized calculations for Baum-Welch
consistently use self._output_logprob
use logsumexp2
Remove mentions of nltk_speed for now
Restore printing entropy in HMM demos
porter.py changed check for double consonant from dictionary to list

unable to import due to syntax error - changed check for doubledec from dictionary to list
Merge pull request #378 from knkumar/porter.py

porter.py changed check for double consonant from Python2.7+ set to list
Merge pull request #377 from kmike/hmm-experiments

Faster Baum-Welch
fix error message in LidstoneProbDist
Remove GoodTuringProbDist (fix #381)
Remove references to GoodTuringProbDist
use SimpleGoodTuring properly in doctests (it had low performance because of unuseful default "bins" value)
strip extra whitespaces in nltk.probability