DomainAdaptationSVM.h

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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) 2007-2011 Christian Widmer
00008  * Copyright (C) 2007-2011 Max-Planck-Society
00009  */
00010 
00011 #ifdef USE_SVMLIGHT
00012 
00013 #ifndef _DomainAdaptation_SVM_H___
00014 #define _DomainAdaptation_SVM_H___
00015 
00016 
00017 #include <shogun/lib/common.h>
00018 #include <shogun/classifier/svm/SVMLight.h>
00019 
00020 #include <stdio.h>
00021 
00022 namespace shogun
00023 {
00025 class CDomainAdaptationSVM : public CSVMLight
00026 {
00027     public:
00028 
00030         CDomainAdaptationSVM();
00031 
00040         CDomainAdaptationSVM(float64_t C, CKernel* k, CLabels* lab, CSVM* presvm, float64_t B);
00041 
00043         virtual ~CDomainAdaptationSVM();
00044 
00050         void init(CSVM* presvm, float64_t B);
00051 
00056         virtual inline EClassifierType get_classifier_type() { return CT_DASVM; }
00057 
00063         virtual CLabels* apply(CFeatures* data);
00064 
00069         virtual CSVM* get_presvm();
00070 
00075         virtual float64_t get_B();
00076 
00081         virtual float64_t get_train_factor();
00082 
00086         virtual void set_train_factor(float64_t factor);
00087 
00089         inline virtual const char* get_name() const { return "DomainAdaptationSVM"; }
00090 
00091     protected:
00092 
00097         virtual bool is_presvm_sane();
00098 
00107         virtual bool train_machine(CFeatures* data=NULL);
00108 
00109     private:
00110         void init();
00111 
00112     protected:
00113 
00115         CSVM* presvm;
00116 
00118         float64_t B;
00119 
00121         float64_t train_factor;
00122 };
00123 }
00124 #endif //_DomainAdaptation_SVM_H___
00125 #endif //USE_SVMLIGHT
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