Cluster structure: All models and sequences.
 - 
![[more]](icon1.gif) smodel** smo smodel** smo
-  Vector of SHMMs pointers 
- 
![[more]](icon1.gif) sequence_d_t** smo_seq sequence_d_t** smo_seq
-  Vector of sequence_t pointers; to store the sequences, that  belong to the models 
- 
![[more]](icon1.gif) int smo_number int smo_number
-  Number of models to read in 
- 
![[more]](icon1.gif) long* seq_counter long* seq_counter
-  Number of sequences for each model 
- 
![[more]](icon1.gif) double* smo_Z_MD double* smo_Z_MD
-  log(P) for the model 
- 
![[more]](icon1.gif) double* smo_Z_MAW double* smo_Z_MAW
- a posteriori probability for the Modelle to calculate the objective fucntion in case of a MAW classificator.
Documentation
Cluster structure: All models and sequences. 
 smodel** smo smodel** smo
- 
Vector of SHMMs pointers 
 
 
 sequence_d_t** smo_seq sequence_d_t** smo_seq
- 
Vector of sequence_t pointers; to store the sequences, that 
belong to the models 
 
 
 int smo_number int smo_number
- 
Number of models to read in 
 
 
 long* seq_counter long* seq_counter
- 
Number of sequences for each model 
 
 
 double* smo_Z_MD double* smo_Z_MD
- 
log(P) for the model 
 
 
 double* smo_Z_MAW double* smo_Z_MAW
- a posteriori probability for the Modelle to calculate the objective
fucntion in case of a MAW classificator. Is calculated using smap_bayes 
 
Alphabetic index
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