/usr/include/shogun/kernel/InverseMultiQuadricKernel.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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 | /*
* 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 Abhinav Maurya
* Copyright (C) 2007-2011 Fraunhofer Institute FIRST and Max-Planck-Society
* Copyright (C) 2011 Indian Institute of Technology Bombay
*/
#include <shogun/lib/config.h>
#ifndef INVERSEMULTIQUADRIC_H_
#define INVERSEMULTIQUADRIC_H_
#include <shogun/lib/common.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CDistance;
/** @brief InverseMultiQuadricKernel
*
* \f[
* K(x,x') = 1/(\sqrt{\| x - x' \|^2 +c^2})
* \f]
*/
class CInverseMultiQuadricKernel: public CKernel
{
public:
/** default constructor */
CInverseMultiQuadricKernel();
/** constructor
* @param cache size of cache
* @param coef kernel parameter coef
* @param dist distance to be used
*/
CInverseMultiQuadricKernel(int32_t cache, float64_t coef, CDistance* dist);
/** constructor
* @param l features left-side
* @param r features right-side
* @param coef kernel parameter coef
* @param dist distance to be used
*/
CInverseMultiQuadricKernel(CFeatures *l, CFeatures *r, float64_t coef, 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_INVERSEMULTIQUADRIC; }
/**
* @return type of features
*/
inline virtual EFeatureType get_feature_type() { return distance->get_feature_type(); }
/**
* @return class of features
*/
inline virtual EFeatureClass get_feature_class() { return distance->get_feature_class(); }
/**
* @return name of kernel
*/
inline virtual const char* get_name() const { return "InverseMultiQuadricKernel"; }
/** getter for coef parameter
* @return kernel parameter coefficient
*/
inline float64_t get_coef() { return this->coef; }
/** setter for coef parameter
* @param value kernel parameter coefficient
*/
inline void set_coef(float64_t value) { this->coef = value; }
virtual ~CInverseMultiQuadricKernel();
protected:
/** distance to be used
*/
CDistance* distance;
/** theta parameter of kernel - coefficient
*/
float64_t coef;
/**
* 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);
/** Can (optionally) be overridden to post-initialize some
* member variables which are not PARAMETER::ADD'ed. Make
* sure that at first the overridden method
* BASE_CLASS::LOAD_SERIALIZABLE_POST is called.
*
* @exception ShogunException Will be thrown if an error
* occurres.
*/
virtual void load_serializable_post() throw (ShogunException);
private:
void init();
};
}
#endif /* INVERSEMULTIQUADRIC_H_ */
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