/usr/include/shogun/kernel/LogKernel.h is in libshogun-dev 3.2.0-7.5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 | /*
* 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 Jakub Jirku
* Copyright (C) 2007-2011 Fraunhofer Institute FIRST and Max-Planck-Society
*/
#include <shogun/lib/config.h>
#ifndef LOGKERNEL_H_
#define LOGKERNEL_H_
#include <shogun/lib/common.h>
#include <shogun/kernel/Kernel.h>
#include <shogun/distance/Distance.h>
namespace shogun
{
class CDistance;
/** @brief Log kernel
*
* Formally described as
*
* \f[
* K(x,x') = - log (\| x-x' \|^{degree} + 1)
* \f]
*
*/
class CLogKernel: public CKernel
{
public:
/** default constructor */
CLogKernel();
/** constructor
* @param cache size of cache
* @param degree kernel parameter degree
* @param dist distance to be used
*/
CLogKernel(int32_t cache, float64_t degree, CDistance* dist);
/** constructor
* @param l features left-side
* @param r features right-side
* @param degree kernel parameter degree
* @param dist distance to be used
*/
CLogKernel(CFeatures *l, CFeatures *r, float64_t degree, 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
*/
virtual EKernelType get_kernel_type() { return K_POWER; }
/**
* @return type of features
*/
virtual EFeatureType get_feature_type() { return m_distance->get_feature_type(); }
/**
* @return class of features
*/
virtual EFeatureClass get_feature_class() { return m_distance->get_feature_class(); }
/**
* @return name of kernel
*/
virtual const char* get_name() const { return "LogKernel"; }
virtual ~CLogKernel();
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;
/// degree parameter of kernel
float64_t m_degree;
};
}
#endif /* LOGKERNEL_H_ */
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