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MMDKernelSelection.h
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1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2012-2013 Heiko Strathmann
4  * Written (w) 2014 Soumyajit De
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31 
32 #ifndef __MMDKERNELSELECTION_H_
33 #define __MMDKERNELSELECTION_H_
34 
35 #include <shogun/lib/config.h>
37 
38 namespace shogun
39 {
40 
41 class CKernelTwoSampleTest;
42 class CKernel;
43 
58 {
59 public:
60 
63 
70 
72  virtual ~CMMDKernelSelection();
73 
81 
88  virtual CKernel* select_kernel();
89 
91  virtual const char* get_name() const
92  {
93  return "MMDKernelSelection";
94  }
95 
96 };
97 
98 }
99 
100 #endif /* __MMDKERNELSELECTION_H_ */
Base class for kernel selection for MMD-based two-sample test statistic implementations. Provides abstract methods for selecting kernels and computing criteria or kernel weights for the implemented method. In order to implement new methods for kernel selection, simply write a new implementation of this class.
virtual CKernel * select_kernel()
Kernel two sample test base class. Provides an interface for performing a two-sample test using a ker...
virtual SGVector< float64_t > compute_measures()=0
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
Base class for kernel selection for kernel two-sample test statistic implementations (e...
The Kernel base class.
Definition: Kernel.h:159
virtual const char * get_name() const

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