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 2 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 2007-2009 Christian Widmer
00008  * Copyright (C) 2007-2009 Max-Planck-Society
00009  */
00010 
00011 #ifndef _DomainAdaptation_SVM_H___
00012 #define _DomainAdaptation_SVM_H___
00013 
00014 
00015 #include "lib/common.h"
00016 #include "classifier/svm/SVMLight.h"
00017 
00018 #include <stdio.h>
00019 
00020 namespace shogun
00021 {
00023 class CDomainAdaptationSVM : public CSVMLight
00024 {
00025     public:
00026 
00028         CDomainAdaptationSVM();
00029 
00038         CDomainAdaptationSVM(float64_t C, CKernel* k, CLabels* lab, CSVM* presvm, float64_t B);
00039 
00041         virtual ~CDomainAdaptationSVM();
00042 
00048         void init(CSVM* presvm, float64_t B);
00049 
00058         virtual bool train(CFeatures* data=NULL);
00059 
00064         virtual inline EClassifierType get_classifier_type() { return CT_DASVM; }
00065 
00071         virtual CLabels* classify(CFeatures* data);
00072 
00077         virtual CSVM* get_presvm();
00078 
00083         virtual float64_t get_B();
00084 
00089         virtual float64_t get_train_factor();
00090 
00094         virtual void set_train_factor(float64_t factor);
00095 
00097         inline virtual const char* get_name() const { return "DomainAdaptationSVM"; }
00098 
00099     protected:
00100 
00105         virtual bool is_presvm_sane();
00106 
00107     private:
00108         void init();
00109 
00110     protected:
00111 
00113         CSVM* presvm;
00114 
00116         float64_t B;
00117 
00119         float64_t train_factor;
00120 };
00121 }
00122 #endif
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