/usr/include/shogun/kernel/CauchyKernel.h is in libshogun-dev 1.1.0-4ubuntu2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2011 Sergey Lisitsyn
* Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
*/
#include <shogun/lib/config.h>
#ifndef CAUCHYKERNEL_H_
#define CAUCHYKERNEL_H_
#include <shogun/lib/common.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CDistance;
/** @brief Cauchy kernel
*
* Formally described as
*
* \f[
* K(x,x') = \frac{1}{1+\frac{\| x-x' \|^2}{\sigma}}
* \f]
*
*/
class CCauchyKernel: public CKernel
{
public:
/** default constructor */
CCauchyKernel();
/** constructor
* @param cache size of cache
* @param sigma kernel parameter sigma
* @param dist distance to be used
*/
CCauchyKernel(int32_t cache, float64_t sigma, CDistance* dist);
/** constructor
* @param l features left-side
* @param r features right-side
* @param sigma kernel parameter sigma
* @param dist distance to be used
*/
CCauchyKernel(CFeatures *l, CFeatures *r, float64_t sigma, CDistance* dist);
/** initialize kernel with features
* @param l features left-side
* @param r features right-side
* @return true if successful
*/
virtual bool init(CFeatures* l, CFeatures* r);
/**
* @return kernel type
*/
inline virtual EKernelType get_kernel_type() { return K_CAUCHY; }
/**
* @return type of features
*/
inline virtual EFeatureType get_feature_type() { return m_distance->get_feature_type(); }
/**
* @return class of features
*/
inline virtual EFeatureClass get_feature_class() { return m_distance->get_feature_class(); }
/**
* @return name of kernel
*/
inline virtual const char* get_name() const { return "CauchyKernel"; }
virtual ~CCauchyKernel();
protected:
/**
* compute kernel for specific feature vectors
* corresponding to [idx_a] of left-side and [idx_b] of right-side
* @param idx_a left-side index
* @param idx_b right-side index
* @return kernel value
*/
virtual float64_t compute(int32_t idx_a, int32_t idx_b);
private:
void init();
protected:
/// distance to be used
CDistance* m_distance;
/// sigma parameter of kernel
float64_t m_sigma;
};
}
#endif /* CAUCHYKERNEL_H_ */
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