/usr/include/shogun/kernel/LinearKernel.h is in libshogun-dev 3.2.0-7.5.
This file is owned by root:root, with mode 0o644.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 | /*
* 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) 1999-2010 Soeren Sonnenburg
* Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
* Copyright (C) 2010 Berlin Institute of Technology
*/
#ifndef _LINEARKERNEL_H___
#define _LINEARKERNEL_H___
#include <shogun/lib/common.h>
#include <shogun/kernel/DotKernel.h>
#include <shogun/features/DotFeatures.h>
#include <shogun/machine/KernelMachine.h>
namespace shogun
{
class CKernelMachine;
class CDotFeatures;
/** @brief Computes the standard linear kernel on CDotFeatures.
*
* Formally, it computes
*
* \f[
* k({\bf x},{\bf x'})= {\bf x}\cdot {\bf x'}
* \f]
*/
class CLinearKernel: public CDotKernel
{
public:
/** constructor
*/
CLinearKernel();
/** constructor
*
* @param l features of left-hand side
* @param r features of right-hand side
*/
CLinearKernel(CDotFeatures* l, CDotFeatures* r);
virtual ~CLinearKernel();
/** initialize kernel
*
* @param l features of left-hand side
* @param r features of right-hand side
* @return if initializing was successful
*/
virtual bool init(CFeatures* l, CFeatures* r);
/** clean up kernel */
virtual void cleanup();
/** return what type of kernel we are
*
* @return kernel type LINEAR
*/
virtual EKernelType get_kernel_type() { return K_LINEAR; }
/** return the kernel's name
*
* @return name Lineaer
*/
virtual const char* get_name() const { return "LinearKernel"; }
/** optimizable kernel, i.e. precompute normal vector and as
* phi(x) = x do scalar product in input space
*
* @param num_suppvec number of support vectors
* @param sv_idx support vector index
* @param alphas alphas
* @return if optimization was successful
*/
virtual bool init_optimization(
int32_t num_suppvec, int32_t* sv_idx, float64_t* alphas);
/** init optimization
* @param km
*/
virtual bool init_optimization(CKernelMachine* km);
/** delete optimization
*
* @return if deleting was successful
*/
virtual bool delete_optimization();
/** compute optimized
*
* @param idx index to compute
* @return optimized value at given index
*/
virtual float64_t compute_optimized(int32_t idx);
virtual void clear_normal()
{
normal = SGVector<float64_t>(((CDotFeatures*)lhs)->get_dim_feature_space());
normal.zero();
set_is_initialized(true);
}
/** add to normal vector
*
* @param idx where to add
* @param weight what to add
*/
virtual void add_to_normal(int32_t idx, float64_t weight);
/** get normal vector
*
* @return normal vector
*/
SGVector<float64_t> get_w() const
{
ASSERT(lhs)
return normal;
}
/** set normal vector
*
* @param w new normal
*/
void set_w(SGVector<float64_t> w)
{
ASSERT(lhs && w.size()==((CDotFeatures*) lhs)->get_dim_feature_space())
this->normal = w;
}
protected:
/** normal vector (used in case of optimized kernel) */
SGVector<float64_t> normal;
};
}
#endif /* _LINEARKERNEL_H__ */
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