SHOGUN
v3.2.0
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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 <shogun/lib/config.h> 00016 00017 #include <shogun/lib/common.h> 00018 #include <shogun/base/Parameter.h> 00019 #include <shogun/machine/LinearMachine.h> 00020 #include <shogun/optimization/liblinear/shogun_liblinear.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 L1R_L2LOSS_SVC, 00039 L1R_LR, 00041 L2R_LR_DUAL 00042 }; 00043 00045 class CLibLinear : public CLinearMachine 00046 { 00047 public: 00048 MACHINE_PROBLEM_TYPE(PT_BINARY) 00049 00050 00051 CLibLinear(); 00052 00057 CLibLinear(LIBLINEAR_SOLVER_TYPE liblinear_solver_type); 00058 00065 CLibLinear( 00066 float64_t C, CDotFeatures* traindat, 00067 CLabels* trainlab); 00068 00070 virtual ~CLibLinear(); 00071 00075 inline LIBLINEAR_SOLVER_TYPE get_liblinear_solver_type() 00076 { 00077 return liblinear_solver_type; 00078 } 00079 00084 inline void set_liblinear_solver_type(LIBLINEAR_SOLVER_TYPE st) 00085 { 00086 liblinear_solver_type=st; 00087 } 00088 00093 virtual EMachineType get_classifier_type() { return CT_LIBLINEAR; } 00094 00100 inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; } 00101 00106 inline float64_t get_C1() { return C1; } 00107 00112 inline float64_t get_C2() { return C2; } 00113 00118 inline void set_epsilon(float64_t eps) { epsilon=eps; } 00119 00124 inline float64_t get_epsilon() { return epsilon; } 00125 00130 inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; } 00131 00136 inline bool get_bias_enabled() { return use_bias; } 00137 00139 virtual const char* get_name() const { return "LibLinear"; } 00140 00142 inline int32_t get_max_iterations() 00143 { 00144 return max_iterations; 00145 } 00146 00148 inline void set_max_iterations(int32_t max_iter=1000) 00149 { 00150 max_iterations=max_iter; 00151 } 00152 00154 void set_linear_term(const SGVector<float64_t> linear_term); 00155 00157 SGVector<float64_t> get_linear_term(); 00158 00160 void init_linear_term(); 00161 00162 protected: 00171 virtual bool train_machine(CFeatures* data=NULL); 00172 00173 private: 00175 void init(); 00176 00177 void train_one(const liblinear_problem *prob, const liblinear_parameter *param, double Cp, double Cn); 00178 void solve_l2r_l1l2_svc( 00179 const liblinear_problem *prob, double eps, double Cp, double Cn, LIBLINEAR_SOLVER_TYPE st); 00180 00181 void solve_l1r_l2_svc(liblinear_problem *prob_col, double eps, double Cp, double Cn); 00182 void solve_l1r_lr(const liblinear_problem *prob_col, double eps, double Cp, double Cn); 00183 void solve_l2r_lr_dual(const liblinear_problem *prob, double eps, double Cp, double Cn); 00184 00185 00186 protected: 00188 float64_t C1; 00190 float64_t C2; 00192 bool use_bias; 00194 float64_t epsilon; 00196 int32_t max_iterations; 00197 00199 SGVector<float64_t> m_linear_term; 00200 00202 LIBLINEAR_SOLVER_TYPE liblinear_solver_type; 00203 }; 00204 00205 } /* namespace shogun */ 00206 00207 #endif //_LIBLINEAR_H___