(model*  mo,  sequence_t*  sq)
Baum-Welch-Algorithm for parameter reestimation (training) in a discrete (discrete output functions) HMM.
Documentation
Baum-Welch-Algorithm for parameter reestimation (training) in
a discrete (discrete output functions) HMM. Scaled version
for multiple sequences, alpha and beta matrices are allocated with
stat_matrix_d_alloc 
New parameters set directly in hmm (no storage of previous values!).
For reference see:  
Rabiner, L.R.: "`A Tutorial on Hidden {Markov} Models and Selected
Applications in Speech Recognition"', Proceedings of the IEEE,
77, no 2, 1989, pp 257--285    
- Parameters:
-  - mo          initial model
 sq -           training sequences
 
- Returns:
-   0/-1 success/error
 
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