[mlpack] HMM problem with nan

[Thuener Silva]

I think there is some problem with the train model using the Baum-Welch
algorithm, with only the given unlabeled observations(void
HMM<Distribution>::Train(const std::vector<arma::mat>& dataSeq))

Sometimes the mean and covariance are returned all nan and it takes a long
time to terminate the train. Another strange think is that I have to
reinstanciate the HMM to get out of this problem. Even changing the initial
mean and covariance, I get same erro if I don't resinstanciate the HMM.

I'm trying to get to the root of the problem. I already know that after
some time the value of oldLoglik is nan and with that then the Baum-Welch
will only exit when it get to maximum number of iterations(1000).

How get the debug messages from mlpack?


Grats,
Thuener
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