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GHMM.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 1999-2009 Soeren Sonnenburg
8  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #ifndef _CGHMM_H___
12 #define _CGHMM_H___
13 
17 
18 namespace shogun
19 {
22 class CGHMM : public CDistribution
23 {
24  public:
26  CGHMM();
27  virtual ~CGHMM();
28 
37  virtual bool train(CFeatures* data=NULL);
38 
43  virtual int32_t get_num_model_parameters();
44 
50  virtual float64_t get_log_model_parameter(int32_t param_num);
51 
58  virtual float64_t get_log_derivative(int32_t param_num, int32_t num_example);
59 
65  virtual float64_t get_log_likelihood_example(int32_t num_example);
66 
72  virtual const char* get_name() const { return "GHMM"; }
73 };
74 }
75 #endif
virtual int32_t get_num_model_parameters()
Definition: GHMM.cpp:29
class GHMM - this class is non-functional and was meant to implement a Generalize Hidden Markov Model...
Definition: GHMM.h:22
virtual float64_t get_log_derivative(int32_t param_num, int32_t num_example)
Definition: GHMM.cpp:39
Base class Distribution from which all methods implementing a distribution are derived.
Definition: Distribution.h:41
virtual float64_t get_log_model_parameter(int32_t param_num)
Definition: GHMM.cpp:34
double float64_t
Definition: common.h:48
virtual ~CGHMM()
Definition: GHMM.cpp:20
virtual const char * get_name() const
Definition: GHMM.h:72
virtual float64_t get_log_likelihood_example(int32_t num_example)
Definition: GHMM.cpp:44
The class Features is the base class of all feature objects.
Definition: Features.h:62
virtual bool train(CFeatures *data=NULL)
Definition: GHMM.cpp:24

SHOGUN Machine Learning Toolbox - Documentation