/usr/include/shogun/lib/external/gpdt.h is in libshogun-dev 3.2.0-7.3build4.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | /******************************************************************************
*** GPDT - Gradient Projection Decomposition Technique ***
******************************************************************************
*** ***
*** GPDT is a C++ software designed to train large-scale Support Vector ***
*** Machines for binary classification in both scalar and distributed ***
*** memory parallel environments. It uses the Joachims' problem ***
*** decomposition technique to split the whole quadratic programming (QP) ***
*** problem into a sequence of smaller QP subproblems, each one being ***
*** solved by a suitable gradient projection method (GPM). The presently ***
*** implemented GPMs are the Generalized Variable Projection Method ***
*** GVPM (T. Serafini, G. Zanghirati, L. Zanni, "Gradient Projection ***
*** Methods for Quadratic Programs and Applications in Training Support ***
*** Vector Machines"; Optim. Meth. Soft. 20, 2005, 353-378) and the ***
*** Dai-Fletcher Method DFGPM (Y. Dai and R. Fletcher,"New Algorithms for ***
*** Singly Linear Constrained Quadratic Programs Subject to Lower and ***
*** Upper Bounds"; Math. Prog. to appear). ***
*** ***
*** Authors: ***
*** Thomas Serafini, Luca Zanni ***
*** Dept. of Mathematics, University of Modena and Reggio Emilia - ITALY ***
*** serafini.thomas@unimo.it, zanni.luca@unimo.it ***
*** Gaetano Zanghirati ***
*** Dept. of Mathematics, University of Ferrara - ITALY ***
*** g.zanghirati@unife.it ***
*** ***
*** Software homepage: http://dm.unife.it/gpdt ***
*** ***
*** This work is supported by the Italian FIRB Projects ***
*** 'Statistical Learning: Theory, Algorithms and Applications' ***
*** (grant RBAU01877P), http://slipguru.disi.unige.it/ASTA ***
*** and ***
*** 'Parallel Algorithms and Numerical Nonlinear Optimization' ***
*** (grant RBAU01JYPN), http://dm.unife.it/pn2o ***
*** ***
*** Copyright (C) 2004 by T. Serafini, G. Zanghirati, L. Zanni. ***
*** ***
*** COPYRIGHT NOTIFICATION ***
*** ***
*** Permission to copy and modify this software and its documentation ***
*** for internal research use is granted, provided that this notice is ***
*** retained thereon and on all copies or modifications. The authors and ***
*** their respective Universities makes no representations as to the ***
*** suitability and operability of this software for any purpose. It is ***
*** provided "as is" without express or implied warranty. ***
*** Use of this software for commercial purposes is expressly prohibited ***
*** without contacting the authors. ***
*** ***
*** 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. ***
*** ***
*** This program is distributed in the hope that it will be useful, ***
*** but WITHOUT ANY WARRANTY; without even the implied warranty of ***
*** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ***
*** GNU General Public License for more details. ***
*** ***
*** You should have received a copy of the GNU General Public License ***
*** along with this program; if not, write to the Free Software ***
*** Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. ***
*** ***
*** File: gpdt.h ***
*** Type: scalar ***
*** Version: 1.0 ***
*** Date: October, 2005 ***
*** Revision: 1 ***
*** ***
******************************************************************************/
#include <shogun/kernel/Kernel.h>
#ifndef DOXYGEN_SHOULD_SKIP_THIS
namespace shogun
{
#define MAXLENGTH 256
#define cachetype KERNELCACHE_ELEM
#define EPS_SV 1.0e-9 /* precision for multipliers */
enum {
SOLVER_VPM = 0,
SOLVER_FLETCHER = 1
};
/** s kernel */
class sKernel
{
public:
/** kernel type */
int32_t ker_type;
/** lx */
int32_t *lx;
/** ix */
int32_t **ix;
/** x */
float32_t **x;
/** nor */
float64_t *nor;
/** sigma */
float64_t sigma;
/** degree */
float64_t degree;
/** normalization factor */
float64_t norm;
/** c poly */
float64_t c_poly;
/** kernel evaluations */
float64_t KernelEvaluations;
/** call kernel fun
*
* @param i
* @param j
* @return something floaty
*/
float64_t (sKernel::*kernel_fun)(int32_t i, int32_t j);
/** constructor
*
* @param k kernel
* @param ell ell
*/
sKernel (shogun::CKernel* k, int32_t ell);
~sKernel();
/** set data
*
* @param x_ new x
* @param ix_ new ix
* @param lx_ new lx
* @param ell new ell
* @param dim dim
*/
void SetData(
float32_t **x_, int32_t **ix_, int32_t *lx_, int32_t ell, int32_t dim);
/** set subproblem
*
* @param ker kernel
* @param len len
* @param perm perm
*/
void SetSubproblem (sKernel* ker, int32_t len, int32_t *perm);
/** get an item from the kernel
*
* @param i index i
* @param j index j
* @return item from kernel at index i, j
*/
float64_t Get(int32_t i, int32_t j)
{
KernelEvaluations += 1.0F;
return kernel->kernel(i, j);
}
/** add something
*
* @param v v
* @param j j
* @param mul mul
*/
void Add (float64_t *v, int32_t j, float64_t mul);
/** prod something
*
* @param v v
* @param j j
* @return something floaty
*/
float64_t Prod (float64_t *v, int32_t j);
/** get kernel
*
* @return kernel
*/
inline CKernel* get_kernel()
{
return kernel;
}
private:
CKernel* kernel;
int32_t vauxRow;
int32_t IsSubproblem;
int32_t ell, dim;
float32_t *vaux;
float64_t dot (int32_t i, int32_t j);
};
void SplitParts (
int32_t n, int32_t part, int32_t parts, int32_t *dim, int32_t *off);
void SplitNum (int32_t n, int32_t *nloc, int32_t *noff);
}
#endif // DOXYGEN_SHOULD_SKIP_THIS
/******************************************************************************/
/*** End of gpdt.h file ***/
/******************************************************************************/
|