SHOGUN  6.1.3
LogitVGLikelihood.h
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1 /*
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3  * Written (w) 2014 Wu Lin
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29  *
30  * Code adapted from
31  * http://hannes.nickisch.org/code/approxXX.tar.gz
32  * and the reference paper is
33  * Nickisch, Hannes, and Carl Edward Rasmussen.
34  * "Approximations for Binary Gaussian Process Classification."
35  * Journal of Machine Learning Research 9.10 (2008).
36  */
37 
38 #ifndef _LOGITVGLIKELIHOOD_H_
39 #define _LOGITVGLIKELIHOOD_H_
40 
41 #include <shogun/lib/config.h>
42 
44 
45 namespace shogun
46 {
47 template<class C> class SGMatrix;
48 
58 {
59 public:
61 
62  virtual ~CLogitVGLikelihood();
63 
68  virtual const char* get_name() const { return "LogitVGLikelihood"; }
69 
76  virtual bool supports_derivative_wrt_hyperparameter() const { return false; }
77 
78 protected:
79 
81  virtual void init_likelihood();
82 
83 private:
84  void init();
85 };
86 }
87 #endif /* _LOGITVGLIKELIHOOD_H_ */
virtual bool supports_derivative_wrt_hyperparameter() const
Class that models Logit likelihood and uses numerical integration to approximate the following variat...
virtual const char * get_name() const
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
Class that models likelihood and uses numerical integration to approximate the following variational ...

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