From: jnarino@gmail.com   
      
   On Aug 24, 8:42 am, "Alessia"  wrote:   
   > Hello,   
   >   
   > I'm trying to training an hidden markov model using the forward - backward   
   > algorithm (Baum Welch) but I don't understand which input I have to give it.   
   > In particular, should I give a complete training set (states + observations)   
   > or only the observations?   
   >   
   > thanks!   
   > Alessia   
   >   
      
   Hi Alessia   
   The amount of states in HMM is a free variable, you set them   
   beforehand.   
      
   You only feed the training algorithm with the observations.   
      
   Regards   
      
   Juan Pablo   
      
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