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LPBoost.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2007-2009 Soeren Sonnenburg
8  * Copyright (C) 2007-2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #ifndef _LPBOOST_H___
12 #define _LPBOOST_H___
13 
14 #include <shogun/lib/config.h>
15 #ifdef USE_CPLEX
16 
17 #include <stdio.h>
18 #include <shogun/lib/common.h>
20 
24 
25 namespace shogun
26 {
48 class CLPBoost : public CLinearClassifier
49 {
50  public:
51  CLPBoost();
52  virtual ~CLPBoost();
53 
55  {
56  return CT_LPBOOST;
57  }
58 
59  bool init(int32_t num_vec);
60  void cleanup();
61 
66  virtual inline void set_features(CDotFeatures* feat)
67  {
68  if (feat->get_feature_class() != C_SPARSE ||
69  feat->get_feature_type() != F_DREAL)
70  SG_ERROR("LPBoost requires SPARSE REAL valued features\n");
71 
72  CLinearClassifier::set_features(feat);
73  }
74 
81  inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; }
82 
83  inline float64_t get_C1() { return C1; }
84  inline float64_t get_C2() { return C2; }
85 
86  inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
87  inline bool get_bias_enabled() { return use_bias; }
88 
89  inline void set_epsilon(float64_t eps) { epsilon=eps; }
90  inline float64_t get_epsilon() { return epsilon; }
91 
92  float64_t find_max_violator(int32_t& max_dim);
93 
95  inline virtual const char* get_name() const { return "LPBoost"; }
96 
97  protected:
106  virtual bool train_machine(CFeatures* data=NULL);
107 
108  protected:
111  bool use_bias;
113 
116 
117  int32_t num_sfeat;
118  int32_t num_svec;
120 
121 };
122 }
123 #endif //USE_CPLEX
124 #endif //_LPBOOST_H___
virtual EFeatureType get_feature_type()=0
float64_t get_C1()
Definition: LPBoost.h:83
EClassifierType
Definition: Machine.h:27
void set_C(float64_t c_neg, float64_t c_pos)
Definition: LPBoost.h:81
#define SG_ERROR(...)
Definition: SGIO.h:75
float64_t get_epsilon()
Definition: LPBoost.h:90
float64_t get_C2()
Definition: LPBoost.h:84
Features that support dot products among other operations.
Definition: DotFeatures.h:41
void set_epsilon(float64_t eps)
Definition: LPBoost.h:89
int32_t num_sfeat
Definition: LPBoost.h:117
float64_t epsilon
Definition: LPBoost.h:112
void set_bias_enabled(bool enable_bias)
Definition: LPBoost.h:86
virtual void set_features(CDotFeatures *feat)
Definition: LPBoost.h:66
virtual ~CLPBoost()
Definition: LPBoost.cpp:36
virtual const char * get_name() const
Definition: LPBoost.h:95
bool get_bias_enabled()
Definition: LPBoost.h:87
virtual EFeatureClass get_feature_class()=0
int32_t num_svec
Definition: LPBoost.h:118
SGSparseVector< float64_t > * sfeat
Definition: LPBoost.h:119
double float64_t
Definition: common.h:56
CDynamicArray< int32_t > * dim
Definition: LPBoost.h:115
Class LPBoost trains a linear classifier called Linear Programming Machine, i.e. a SVM using a norm ...
Definition: LPBoost.h:48
bool init(int32_t num_vec)
Definition: LPBoost.cpp:41
float64_t C2
Definition: LPBoost.h:110
float64_t find_max_violator(int32_t &max_dim)
Definition: LPBoost.cpp:69
The class Features is the base class of all feature objects.
Definition: Features.h:56
virtual EClassifierType get_classifier_type()
Definition: LPBoost.h:54
void cleanup()
Definition: LPBoost.cpp:57
float64_t * u
Definition: LPBoost.h:114
virtual bool train_machine(CFeatures *data=NULL)
Definition: LPBoost.cpp:104
float64_t C1
Definition: LPBoost.h:109

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