-
-
Notifications
You must be signed in to change notification settings - Fork 1k
/
MKLMulticlassGLPK.h
91 lines (80 loc) · 2.48 KB
/
MKLMulticlassGLPK.h
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
/*
* 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) 2009 Alexander Binder
* Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
*
* Update to patch 0.10.0 - thanks to Eric aka Yoo (thereisnoknife@gmail.com)
*
*/
#ifndef MKLMulticlassGLPK_H_
#define MKLMulticlassGLPK_H_
#include <shogun/lib/config.h>
#include <vector>
#include <shogun/base/SGObject.h>
#include <shogun/classifier/mkl/MKLMulticlassOptimizationBase.h>
namespace shogun
{
/** @brief MKLMulticlassGLPK is a helper class for MKLMulticlass.
*
* it solves the corresponding linear problem arising in SIP formulation for
* MKL using glpk
*/
class MKLMulticlassGLPK: public MKLMulticlassOptimizationBase
{
public:
/** Class default Constructor
*
*/
MKLMulticlassGLPK();
/** Class default Destructor
*
*/
virtual ~MKLMulticlassGLPK();
/** initializes GLPK LP sover
*
* @param numkernels2 is the number of kernels
*
*
*/
virtual void setup(const int32_t numkernels2);
/** adds a constraint to the LP arising in L1 MKL based on two parameters
*
* @param normw2 is the vector of \f$ \|w_k \|^2 \f$ for all kernels
* @param sumofpositivealphas is a term depending on alphas, labels and
* biases, see in the function float64_t getsumofsignfreealphas() from
* MKLMulticlass.h, it depends on the formulation of the underlying GMNPSVM.
*
*/
virtual void addconstraint(const ::std::vector<float64_t> & normw2,
const float64_t sumofpositivealphas);
/** computes MKL weights
*
* @param weights2 stores the new weights
*
*/
virtual void computeweights(std::vector<float64_t> & weights2);
/** @return object name */
virtual const char* get_name() const { return "MKLMulticlassGLPK"; }
protected:
/** Class Copy Constructor
* protected to avoid its usage because member glp_prob* linearproblem;
* from GLPK package is not copyable
*/
MKLMulticlassGLPK(MKLMulticlassGLPK & gl);
/** Class Assignment operator
* protected to avoid its usage because member glp_prob* linearproblem;
* from GLPK package is not copyable
*/
MKLMulticlassGLPK operator=(MKLMulticlassGLPK & gl);
protected:
/** stores the number of kernels which acts as a parameter for the LP */
int32_t numkernels;
/** GLPK data structure of type glp_prob* */
void* linearproblem;
};
}
#endif