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SHOGUN v0.9.3
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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) 2007-2010 Soeren Sonnenburg 00008 * Copyright (c) 2007-2009 The LIBLINEAR Project. 00009 * Copyright (C) 2007-2010 Fraunhofer Institute FIRST and Max-Planck-Society 00010 */ 00011 00012 #ifndef _LIBLINEAR_H___ 00013 #define _LIBLINEAR_H___ 00014 00015 #include "lib/config.h" 00016 00017 #ifdef HAVE_LAPACK 00018 #include "lib/common.h" 00019 #include "classifier/LinearClassifier.h" 00020 #include "classifier/svm/SVM_linear.h" 00021 00022 namespace shogun 00023 { 00025 enum LIBLINEAR_SOLVER_TYPE 00026 { 00028 L2R_LR, 00030 L2R_L2LOSS_SVC_DUAL, 00032 L2R_L2LOSS_SVC, 00034 // (default since this is the standard SVM) 00035 L2R_L1LOSS_SVC_DUAL, 00037 MCSVM_CS, 00039 L1R_L2LOSS_SVC, 00041 L1R_LR 00042 }; 00043 00045 class CLibLinear : public CLinearClassifier 00046 { 00047 public: 00052 CLibLinear(LIBLINEAR_SOLVER_TYPE liblinear_solver_type); 00053 00060 CLibLinear( 00061 float64_t C, CDotFeatures* traindat, 00062 CLabels* trainlab); 00063 00064 virtual ~CLibLinear(); 00065 00066 inline LIBLINEAR_SOLVER_TYPE get_liblinear_solver_type() 00067 { 00068 return liblinear_solver_type; 00069 } 00070 00071 inline void set_liblinear_solver_type(LIBLINEAR_SOLVER_TYPE st) 00072 { 00073 liblinear_solver_type=st; 00074 } 00075 00084 virtual bool train(CFeatures* data=NULL); 00085 00090 virtual inline EClassifierType get_classifier_type() { return CT_LIBLINEAR; } 00091 00097 inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; } 00098 00103 inline float64_t get_C1() { return C1; } 00104 00109 inline float64_t get_C2() { return C2; } 00110 00115 inline void set_epsilon(float64_t eps) { epsilon=eps; } 00116 00121 inline float64_t get_epsilon() { return epsilon; } 00122 00127 inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; } 00128 00133 inline bool get_bias_enabled() { return use_bias; } 00134 00136 inline virtual const char* get_name() const { return "LibLinear"; } 00137 00139 inline int32_t get_max_iterations() 00140 { 00141 return max_iterations; 00142 } 00143 00145 inline void set_max_iterations(int32_t max_iter=1000) 00146 { 00147 max_iterations=max_iter; 00148 } 00149 00150 private: 00151 void train_one(const problem *prob, const parameter *param, double Cp, double Cn); 00152 void solve_l2r_l1l2_svc( 00153 const problem *prob, double eps, double Cp, double Cn, LIBLINEAR_SOLVER_TYPE st); 00154 00155 void solve_l1r_l2_svc(problem *prob_col, double eps, double Cp, double Cn); 00156 void solve_l1r_lr(const problem *prob_col, double eps, double Cp, double Cn); 00157 00158 00159 protected: 00161 float64_t C1; 00163 float64_t C2; 00165 bool use_bias; 00167 float64_t epsilon; 00169 int32_t max_iterations; 00170 00172 LIBLINEAR_SOLVER_TYPE liblinear_solver_type; 00173 }; 00174 } 00175 #endif //HAVE_LAPACK 00176 #endif //_LIBLINEAR_H___