Open nirzohar opened 7 years ago
I use TrainBaumWelchScaled to train HiddenMarkovModel. It seems that the mu (mean) on the StateDistribution on the HiddenMarkovModel do not change after the iterations. Here is my logic within the for loop:
clac = (ForwardBackwardScaledCalculator) bwl.generateForwardBackwardCalculator(trainingSet, trainHmm); double curLoglik = clac.lnProbability();
bwl.iteration(); trainHmm = (HiddenMarkovModel) bwl.getMethod();
appreciate the help, or mail to nir@provenanceim.com
Thanks
I use TrainBaumWelchScaled to train HiddenMarkovModel. It seems that the mu (mean) on the StateDistribution on the HiddenMarkovModel do not change after the iterations. Here is my logic within the for loop:
clac = (ForwardBackwardScaledCalculator) bwl.generateForwardBackwardCalculator(trainingSet, trainHmm); double curLoglik = clac.lnProbability();
bwl.iteration(); trainHmm = (HiddenMarkovModel) bwl.getMethod();
appreciate the help, or mail to nir@provenanceim.com
Thanks