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LinearTimeMMD.h
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4  * Written (w) 2014 Soumyajit De
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31 
32 #ifndef LINEAR_TIME_MMD_H_
33 #define LINEAR_TIME_MMD_H_
34 
35 #include <shogun/lib/config.h>
36 
38 
39 namespace shogun
40 {
41 
42 class CStreamingFeatures;
43 class CFeatures;
44 
67 {
68 public:
71 
83  CStreamingFeatures* q, index_t m, index_t blocksize=10000);
84 
86  virtual ~CLinearTimeMMD();
87 
106  virtual void compute_statistic_and_variance(
107  SGVector<float64_t>& statistic, SGVector<float64_t>& variance,
108  bool multiple_kernels=false);
109 
114  virtual void compute_statistic_and_Q(
116 
119  {
120  return S_LINEAR_TIME_MMD;
121  }
122 
124  virtual const char* get_name() const
125  {
126  return "LinearTimeMMD";
127  }
128 
129 protected:
143  CList* data, index_t num_this_run);
144 
145 private:
148  void compute_squared_mmd(CKernel* kernel, CList* data,
151  SGVector<float64_t>& qp, index_t num_this_run);
152 
153 };
154 
155 }
156 
157 #endif /* LINEAR_TIME_MMD_H_ */
158 
int32_t index_t
Definition: common.h:62
virtual void compute_statistic_and_Q(SGVector< float64_t > &statistic, SGMatrix< float64_t > &Q)
virtual EStatisticType get_statistic_type() const
virtual void compute_statistic_and_variance(SGVector< float64_t > &statistic, SGVector< float64_t > &variance, bool multiple_kernels=false)
Abstract base class that provides an interface for performing kernel two-sample test on streaming dat...
Definition: StreamingMMD.h:88
virtual SGVector< float64_t > compute_squared_mmd(CKernel *kernel, CList *data, index_t num_this_run)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual const char * get_name() const
Streaming features are features which are used for online algorithms.
This class implements the linear time Maximum Mean Statistic as described in [1] for streaming data (...
Definition: LinearTimeMMD.h:66
The Kernel base class.
Definition: Kernel.h:159
Class List implements a doubly connected list for low-level-objects.
Definition: List.h:84

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