KernelMulticlassMachine.h

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) 1999-2012 Soeren Sonnenburg and Sergey Lisitsyn
00008  * Written (W) 2012 Heiko Strathmann
00009  * Copyright (C) 1999-2012 Fraunhofer Institute FIRST and Max-Planck-Society
00010  */
00011 
00012 #ifndef _KERNELMULTICLASSMACHINE_H___
00013 #define _KERNELMULTICLASSMACHINE_H___
00014 
00015 #include <shogun/lib/common.h>
00016 #include <shogun/features/Features.h>
00017 #include <shogun/kernel/Kernel.h>
00018 #include <shogun/machine/KernelMachine.h>
00019 #include <shogun/machine/MulticlassMachine.h>
00020 
00021 namespace shogun
00022 {
00023 
00024 class CKernel;
00025 class CKernelMachine;
00026 
00028 class CKernelMulticlassMachine : public CMulticlassMachine
00029 {
00030     public:
00032         CKernelMulticlassMachine() : CMulticlassMachine(), m_kernel(NULL)
00033         {
00034             SG_ADD((CSGObject**)&m_kernel,"kernel", "The kernel to be used", MS_AVAILABLE);
00035         }
00036 
00043         CKernelMulticlassMachine(CMulticlassStrategy *strategy, CKernel* kernel, CKernelMachine* machine, CLabels* labs) :
00044             CMulticlassMachine(strategy,(CMachine*)machine,labs), m_kernel(NULL)
00045         {
00046             set_kernel(kernel);
00047             SG_ADD((CSGObject**)&m_kernel,"kernel", "The kernel to be used", MS_AVAILABLE);
00048         }
00049 
00051         virtual ~CKernelMulticlassMachine()
00052         {
00053             SG_UNREF(m_kernel);
00054         }
00055 
00057         virtual const char* get_name() const
00058         {
00059             return "KernelMulticlassMachine";
00060         }
00061 
00066         void set_kernel(CKernel* k)
00067         {
00068             ((CKernelMachine*)m_machine)->set_kernel(k);
00069             SG_REF(k);
00070             SG_UNREF(m_kernel);
00071             m_kernel=k;
00072         }
00073 
00078         CKernel* get_kernel()
00079         {
00080             SG_REF(m_kernel);
00081             return m_kernel;
00082         }
00083 
00090         virtual void store_model_features();
00091 
00092     protected:
00093 
00095         virtual bool init_machine_for_train(CFeatures* data)
00096         {
00097             if (data)
00098                 m_kernel->init(data,data);
00099 
00100             ((CKernelMachine*)m_machine)->set_kernel(m_kernel);
00101 
00102             return true;
00103         }
00104 
00106         virtual bool init_machines_for_apply(CFeatures* data)
00107         {
00108             if (data)
00109             {
00110                 /* set data to rhs for this kernel */
00111                 CFeatures* lhs=m_kernel->get_lhs();
00112                 m_kernel->init(lhs, data);
00113                 SG_UNREF(lhs);
00114             }
00115 
00116             /* set kernel to all sub-machines */
00117             for (int32_t i=0; i<m_machines->get_num_elements(); i++)
00118             {
00119                 CKernelMachine *machine=
00120                         (CKernelMachine*)m_machines->get_element(i);
00121                 machine->set_kernel(m_kernel);
00122                 SG_UNREF(machine);
00123             }
00124 
00125             return true;
00126         }
00127 
00129         virtual bool is_ready()
00130         {
00131             if (m_kernel && m_kernel->get_num_vec_lhs() && m_kernel->get_num_vec_rhs())
00132                     return true;
00133 
00134             return false;
00135         }
00136 
00138         virtual CMachine* get_machine_from_trained(CMachine* machine)
00139         {
00140             return new CKernelMachine((CKernelMachine*)machine);
00141         }
00142 
00144         virtual int32_t get_num_rhs_vectors()
00145         {
00146             return m_kernel->get_num_vec_rhs();
00147         }
00148 
00153         virtual void add_machine_subset(SGVector<index_t> subset)
00154         {
00155             SG_NOTIMPLEMENTED;
00156         }
00157 
00159         virtual void remove_machine_subset()
00160         {
00161             SG_NOTIMPLEMENTED;
00162         }
00163 
00164     protected:
00165 
00167         CKernel* m_kernel;
00168 
00169 };
00170 }
00171 #endif
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines

SHOGUN Machine Learning Toolbox - Documentation