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LogitLikelihood.h
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31 
32 #ifndef _LOGITLIKELIHOOD_H_
33 #define _LOGITLIKELIHOOD_H_
34 
35 #include <shogun/lib/config.h>
36 
37 
39 
40 namespace shogun
41 {
42 
50 {
51 public:
54 
55  virtual ~CLogitLikelihood();
56 
61  virtual const char* get_name() const { return "LogitLikelihood"; }
62 
78  SGVector<float64_t> s2, const CLabels* lab=NULL) const;
79 
95  SGVector<float64_t> s2, const CLabels* lab=NULL) const;
96 
101  virtual ELikelihoodModelType get_model_type() const { return LT_LOGIT; }
102 
115  SGVector<float64_t> func) const;
116 
128  const CLabels* lab, SGVector<float64_t> func, index_t i) const;
129 
147  SGVector<float64_t> s2, const CLabels* lab) const;
148 
164  SGVector<float64_t> s2, const CLabels* lab, index_t i) const;
165 
181  SGVector<float64_t> s2, const CLabels* lab, index_t i) const;
182 
187  virtual bool supports_binary() const { return true; }
188 };
189 }
190 #endif /* _LOGITLIKELIHOOD_H_ */
virtual SGVector< float64_t > get_predictive_means(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab=NULL) const
ELikelihoodModelType
virtual SGVector< float64_t > get_predictive_variances(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab=NULL) const
Class that models Logit likelihood.
int32_t index_t
Definition: common.h:62
The class Labels models labels, i.e. class assignments of objects.
Definition: Labels.h:43
virtual float64_t get_second_moment(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab, index_t i) const
virtual SGVector< float64_t > get_log_probability_derivative_f(const CLabels *lab, SGVector< float64_t > func, index_t i) const
virtual SGVector< float64_t > get_log_zeroth_moments(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab) const
virtual bool supports_binary() const
double float64_t
Definition: common.h:50
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual const char * get_name() const
virtual float64_t get_first_moment(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab, index_t i) const
virtual ELikelihoodModelType get_model_type() const
virtual SGVector< float64_t > get_log_probability_f(const CLabels *lab, SGVector< float64_t > func) const
The Likelihood model base class.

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