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KernelDependenceMaximization.h
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1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2014 Soumyajit De
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30 
31 #ifndef KERNEL_DEPENDENCE_MAXIMIZATION_H__
32 #define KERNEL_DEPENDENCE_MAXIMIZATION_H__
33 
34 #include <shogun/lib/config.h>
36 
37 namespace shogun
38 {
39 
40 class CFeatures;
41 class CKernelSelection;
42 
50 {
51 public:
54 
57 
59  void set_kernel_features(CKernel* kernel);
60 
63 
65  void set_kernel_labels(CKernel* kernel);
66 
68  CKernel* get_kernel_labels() const;
69 
76  virtual void set_algorithm(EFeatureSelectionAlgorithm algorithm)=0;
77 
79  virtual const char* get_name() const
80  {
81  return "KernelDependenceMaximization";
82  }
83 
84 protected:
90  virtual void precompute();
91 
94 
97 
98 private:
100  void initialize_parameters();
101 
102 };
103 
104 }
105 #endif // KERNEL_DEPENDENCE_MAXIMIZATION_H__
Class CKernelDependenceMaximization, that uses an implementation of CKernelIndependenceTest to comput...
Class CDependenceMaximization, base class for all feature selection preprocessors which select a subs...
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
EFeatureSelectionAlgorithm
The Kernel base class.
Definition: Kernel.h:158
virtual void set_algorithm(EFeatureSelectionAlgorithm algorithm)=0

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