SHOGUN  5.0.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules
MKLMulticlassOptimizationBase.cpp
Go to the documentation of this file.
1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2009 Alexander Binder
8  * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
12 #include <shogun/io/SGIO.h>
13 
14 using namespace shogun;
15 
17 {
18 
19 }
21 {
22 
23 }
24 
25 
26 
27 void MKLMulticlassOptimizationBase::setup(const int32_t numkernels2)
28 {
29  SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass")
30 
31 }
32 
34 {
35  //deliberately no error here
36  SG_WARNING("class MKLMultiOptimizationBase, method set_mkl_norm() not implemented in derived class, has no effect")
37 }
38 
39 void MKLMulticlassOptimizationBase::addconstraint(const ::std::vector<float64_t> & normw2,
40  const float64_t sumofpositivealphas)
41 {
42  SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass")
43 
44 }
45 
46 
47 
48 void MKLMulticlassOptimizationBase::computeweights(std::vector<float64_t> & weights2)
49 {
50  SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass")
51 }
#define SG_ERROR(...)
Definition: SGIO.h:129
virtual void setup(const int32_t numkernels2)
virtual void addconstraint(const ::std::vector< float64_t > &normw2, const float64_t sumofpositivealphas)
double float64_t
Definition: common.h:50
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
#define SG_WARNING(...)
Definition: SGIO.h:128
virtual void computeweights(std::vector< float64_t > &weights2)

SHOGUN Machine Learning Toolbox - Documentation