SHOGUN  6.1.3
TwoDistributionTest.h
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4  * Written (w) 2014 - 2017 Soumyajit De
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31 
32 #ifndef TWO_DISTRIBUTION_TEST_H_
33 #define TWO_DISTRIBUTION_TEST_H_
34 
36 
37 namespace shogun
38 {
39 
40 class CDistance;
41 class CCustomDistance;
42 
51 {
52 public:
55 
57  virtual ~CTwoDistributionTest();
58 
67  virtual void set_p(CFeatures* samples_from_p);
68 
70  CFeatures* get_p() const;
71 
80  virtual void set_q(CFeatures* samples_from_q);
81 
83  CFeatures* get_q() const;
84 
95  void set_num_samples_p(index_t num_samples_from_p);
96 
98  const index_t get_num_samples_p() const;
99 
110  void set_num_samples_q(index_t num_samples_from_q);
111 
113  const index_t get_num_samples_q() const;
114 
125 
137 
143  virtual float64_t compute_statistic()=0;
144 
150  virtual SGVector<float64_t> sample_null()=0;
151 
153  virtual const char* get_name() const;
154 };
155 
156 }
157 #endif // TWO_DISTRIBUTION_TEST_H_
float distance(CJLCoverTreePoint p1, CJLCoverTreePoint p2, float64_t upper_bound)
virtual const char * get_name() const
Class Distance, a base class for all the distances used in the Shogun toolbox.
Definition: Distance.h:87
int32_t index_t
Definition: common.h:72
void set_num_samples_p(index_t num_samples_from_p)
virtual void set_p(CFeatures *samples_from_p)
Hypothesis test base class. Provides an interface for statistical hypothesis testing via three method...
virtual void set_q(CFeatures *samples_from_q)
CCustomDistance * compute_joint_distance(CDistance *distance)
double float64_t
Definition: common.h:60
const index_t get_num_samples_q() const
CCustomDistance * compute_distance(CDistance *distance)
Class TwoDistributionTest is the base class for the statistical hypothesis testing with samples from ...
void set_num_samples_q(index_t num_samples_from_q)
const index_t get_num_samples_p() const
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual SGVector< float64_t > sample_null()=0
The class Features is the base class of all feature objects.
Definition: Features.h:69
virtual float64_t compute_statistic()=0
The Custom Distance allows for custom user provided distance matrices.

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