/usr/include/shogun/classifier/svm/GNPPLib.h is in libshogun-dev 1.1.0-4ubuntu2.
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 | /*-----------------------------------------------------------------------
*
* 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.
*
* Library of solvers for Generalized Nearest Point Problem (GNPP).
*
* Written (W) 1999-2008 Vojtech Franc, xfrancv@cmp.felk.cvut.cz
* Copyright (C) 1999-2008 Center for Machine Perception, CTU FEL Prague
*
-------------------------------------------------------------------- */
#ifndef GNPPLIB_H__
#define GNPPLIB_H__
#include <math.h>
#include <limits.h>
#include <shogun/base/SGObject.h>
#include <shogun/io/SGIO.h>
#include <shogun/lib/common.h>
#include <shogun/kernel/Kernel.h>
namespace shogun
{
/** @brief class GNPPLib, a Library of solvers for Generalized Nearest Point
* Problem (GNPP).
*/
class CGNPPLib: public CSGObject
{
public:
/** default constructor */
CGNPPLib();
/** constructor
*
* @param vector_y vector y
* @param kernel kernel
* @param num_data number of data
* @param reg_const reg const
*/
CGNPPLib(float64_t* vector_y, CKernel* kernel, int32_t num_data, float64_t reg_const);
virtual ~CGNPPLib();
/** --------------------------------------------------------------
QP solver based on MDM algorithm.
Usage: exitflag = gnpp_mdm(diag_H, vector_c, vector_y,
dim, tmax, tolabs, tolrel, th, &alpha, &t, &aHa11, &aHa22, &History );
-------------------------------------------------------------- */
int8_t gnpp_mdm(float64_t *diag_H,
float64_t *vector_c,
float64_t *vector_y,
int32_t dim,
int32_t tmax,
float64_t tolabs,
float64_t tolrel,
float64_t th,
float64_t *alpha,
int32_t *ptr_t,
float64_t *ptr_aHa11,
float64_t *ptr_aHa22,
float64_t **ptr_History,
int32_t verb);
/** --------------------------------------------------------------
QP solver based on improved MDM algorithm (u fixed v optimized)
Usage: exitflag = gnpp_imdm( diag_H, vector_c, vector_y,
dim, tmax, tolabs, tolrel, th, &alpha, &t, &aHa11, &aHa22, &History );
-------------------------------------------------------------- */
int8_t gnpp_imdm(float64_t *diag_H,
float64_t *vector_c,
float64_t *vector_y,
int32_t dim,
int32_t tmax,
float64_t tolabs,
float64_t tolrel,
float64_t th,
float64_t *alpha,
int32_t *ptr_t,
float64_t *ptr_aHa11,
float64_t *ptr_aHa22,
float64_t **ptr_History,
int32_t verb);
/** @return object name */
inline virtual const char* get_name() const { return "GNPPLib"; }
protected:
/** get col
*
* @param a a
* @param b b
* @return something floaty
*/
float64_t* get_col(int64_t a, int64_t b);
/** kernel columns */
float64_t** kernel_columns;
/** cache index */
float64_t* cache_index;
/** first kernel inx */
int32_t first_kernel_inx;
/** cache size */
int64_t Cache_Size;
/** num data */
int32_t m_num_data;
/** reg const */
float64_t m_reg_const;
/** vector y */
float64_t* m_vector_y;
/** kernel */
CKernel* m_kernel;
};
}
#endif // GNPPLIB_H__
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