MKLMultiClassOptimizationBase.cpp

Go to the documentation of this file.
00001 /*
00002  * This program is free software; you can redistribute it and/or modify
00003  * it under the terms of the GNU General Public License as published by
00004  * the Free Software Foundation; either version 3 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 2009 Alexander Binder
00008  * Copyright (C) 2009 Fraunhofer Institute FIRST and Max-Planck-Society
00009  */
00010 
00011 #include "MKLMultiClassOptimizationBase.h"
00012 
00013 using namespace shogun;
00014 
00015 MKLMultiClassOptimizationBase::MKLMultiClassOptimizationBase()
00016 {
00017 
00018 }
00019 MKLMultiClassOptimizationBase::~MKLMultiClassOptimizationBase()
00020 {
00021 
00022 }
00023 
00024 
00025 
00026 void MKLMultiClassOptimizationBase::setup(const int32_t numkernels2)
00027 {
00028     SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass");
00029     
00030 }
00031 
00032 void MKLMultiClassOptimizationBase::set_mkl_norm(float64_t norm)
00033 {
00034     //deliberately no error here
00035     SG_WARNING("class MKLMultiOptimizationBase, method set_mkl_norm() not implemented in derived class, has no effect");
00036 }
00037 
00038 void MKLMultiClassOptimizationBase::addconstraint(const ::std::vector<float64_t> & normw2,
00039         const float64_t sumofpositivealphas)
00040 {
00041     SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass");
00042 
00043 }
00044 
00045 
00046 
00047 void MKLMultiClassOptimizationBase::computeweights(std::vector<float64_t> & weights2)
00048 {
00049     SG_ERROR("class MKLMultiOptimizationBase, method not implemented in derivedclass"); 
00050 }
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines

SHOGUN Machine Learning Toolbox - Documentation