CGHMM Class Reference
Inheritance diagram for CGHMM:
Detailed Description
class GHMM - this class is non-functional and was meant to implement a Generalize Hidden Markov Model (aka Semi Hidden Markov HMM)Definition at line 21 of file GHMM.h.
Public Member Functions | |
| CGHMM () | |
| ~CGHMM () | |
| virtual bool | train () |
| virtual int32_t | get_num_model_parameters () |
| virtual float64_t | get_log_model_parameter (int32_t param_num) |
| virtual float64_t | get_log_derivative (int32_t param_num, int32_t num_example) |
| virtual float64_t | get_log_likelihood_example (int32_t num_example) |
Constructor & Destructor Documentation
Member Function Documentation
| bool CGHMM::train | ( | ) | [virtual] |
| int32_t CGHMM::get_num_model_parameters | ( | ) | [virtual] |
| float64_t CGHMM::get_log_model_parameter | ( | int32_t | param_num | ) | [virtual] |
| float64_t CGHMM::get_log_derivative | ( | int32_t | param_num, | |
| int32_t | num_example | |||
| ) | [virtual] |
get logarithm of one example's derivative's likelihood
- Parameters:
-
param_num which example's param num_example which example
- Returns:
- logarithm of example's derivative's likelihood
Implements CDistribution.
| float64_t CGHMM::get_log_likelihood_example | ( | int32_t | num_example | ) | [virtual] |
get logarithm of one example's likelihood
- Parameters:
-
num_example which example
- Returns:
- logarithm of example's likelihood
Implements CDistribution.
The documentation for this class was generated from the following files: