/usr/include/shogun/kernel/LinearKernel.h is in libshogun-dev 1.1.0-4ubuntu2.
This file is owned by root:root, with mode 0o644.
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* 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);
/** clear normal vector */
virtual void clear_normal();
/** 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
*
* @param len where length of normal vector will be stored
* @return normal vector
*/
inline const float64_t* get_normal(int32_t& len)
{
if (lhs && normal)
{
len = ((CDotFeatures*) lhs)->get_dim_feature_space();
return normal;
}
else
{
len = 0;
return NULL;
}
}
/** get normal vector (swig compatible)
*
* @param dst_w store w in this argument
* @param dst_dims dimension of w
*/
inline void get_w(float64_t** dst_w, int32_t* dst_dims)
{
ASSERT(lhs && normal);
int32_t len = ((CDotFeatures*) lhs)->get_dim_feature_space();
ASSERT(dst_w && dst_dims);
*dst_dims=len;
*dst_w=SG_MALLOC(float64_t, *dst_dims);
ASSERT(*dst_w);
memcpy(*dst_w, normal, sizeof(float64_t) * (*dst_dims));
}
/** set normal vector (swig compatible)
*
* @param src_w new w
* @param src_w_dim dimension of new w - must fit dim of lhs
*/
inline void set_w(float64_t* src_w, int32_t src_w_dim)
{
ASSERT(lhs && src_w_dim==((CDotFeatures*) lhs)->get_dim_feature_space());
clear_normal();
memcpy(normal, src_w, sizeof(float64_t) * src_w_dim);
}
protected:
/** normal vector (used in case of optimized kernel) */
float64_t* normal;
/** length of normal vector */
int32_t normal_length;
};
}
#endif /* _LINEARKERNEL_H__ */
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