Hi, I am trying to train my HMM using unsupervised training (I don't need to train the emission probabilities). I was wondering how I can do so in biojava. do I have to implement the TransitionTrainer interface?
my second question is: I implemnted getWeightImpl in my custom distribution to set up my emission states and it works fine. but is it possible to get the program to access it only when there's certain symbol in the observed sequence, (instead of precalculated)? and I also found that (although I might be wrong) the weights are calculated twice, once was when the distribution was created, and then when I call viterbi it calls getWeightImpl again. I am not sure what I did wrong here :( any input would be very much appreciated! thank you! wendy _______________________________________________ Biojava-l mailing list - [email protected] http://lists.open-bio.org/mailman/listinfo/biojava-l
