hmmFit and hmmLogprob for classification

What steps will reproduce the problem?
1. train separate models using positive discrete samples from different classes
2. cross-test for the highest likelihood using hmmLogprob

What is the expected output? What do you see instead?

hmmLogprob sometimes crashes when a model is tested on data that do not belong 
to the same class

What version / revision of the product are you using? On what operating system? 
pmtk3 nov 2010

Please provide any additional information below.

The problem is that the discretized positive samples in the training set might 
not include all the possible observations for a class, but hmmFit estimates the 
number of observations from the positive samples. So, if there are 8 
observation symbols, but a class makes use of only the first 6, the trained 
model also has 6 observation states, and cannot evaluate samples belonging to 
other classes, a crucial step for classification. 

Solution:
There should be an option to set the number of observations directly.

Original issue reported on code.google.com by sys64...@gmail.com on 16 Jan 2011 at 9:00

hisuk / pmtk3

hmmFit and hmmLogprob for classification #12