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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 CLinearMachine
49 {
50  public:
52 
53  CLPBoost();
54  virtual ~CLPBoost();
55 
57  {
58  return CT_LPBOOST;
59  }
60 
61  bool init(int32_t num_vec);
62  void cleanup();
63 
68  virtual void set_features(CDotFeatures* feat)
69  {
70  if (feat->get_feature_class() != C_SPARSE ||
71  feat->get_feature_type() != F_DREAL)
72  SG_ERROR("LPBoost requires SPARSE REAL valued features\n")
73 
75  }
76 
83  inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; }
84 
85  inline float64_t get_C1() { return C1; }
86  inline float64_t get_C2() { return C2; }
87 
88  inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
89  inline bool get_bias_enabled() { return use_bias; }
90 
91  inline void set_epsilon(float64_t eps) { epsilon=eps; }
92  inline float64_t get_epsilon() { return epsilon; }
93 
94  float64_t find_max_violator(int32_t& max_dim);
95 
97  virtual const char* get_name() const { return "LPBoost"; }
98 
99  protected:
108  virtual bool train_machine(CFeatures* data=NULL);
109 
110  protected:
113  bool use_bias;
115 
118 
119  int32_t num_sfeat;
120  int32_t num_svec;
122 
123 };
124 }
125 #endif //USE_CPLEX
126 #endif //_LPBOOST_H___
EMachineType
Definition: Machine.h:33
float64_t get_C1()
Definition: LPBoost.h:85
void set_C(float64_t c_neg, float64_t c_pos)
Definition: LPBoost.h:83
#define SG_ERROR(...)
Definition: SGIO.h:131
float64_t get_epsilon()
Definition: LPBoost.h:92
float64_t get_C2()
Definition: LPBoost.h:86
virtual EMachineType get_classifier_type()
Definition: LPBoost.h:56
Features that support dot products among other operations.
Definition: DotFeatures.h:41
void set_epsilon(float64_t eps)
Definition: LPBoost.h:91
int32_t num_sfeat
Definition: LPBoost.h:119
float64_t epsilon
Definition: LPBoost.h:114
void set_bias_enabled(bool enable_bias)
Definition: LPBoost.h:88
virtual void set_features(CDotFeatures *feat)
Definition: LPBoost.h:68
virtual ~CLPBoost()
Definition: LPBoost.cpp:36
virtual const char * get_name() const
Definition: LPBoost.h:97
bool get_bias_enabled()
Definition: LPBoost.h:89
int32_t num_svec
Definition: LPBoost.h:120
SGSparseVector< float64_t > * sfeat
Definition: LPBoost.h:121
double float64_t
Definition: common.h:48
virtual void set_features(CDotFeatures *feat)
virtual EFeatureClass get_feature_class() const =0
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
Definition: LinearMachine.h:61
CDynamicArray< int32_t > * dim
Definition: LPBoost.h:117
Class LPBoost trains a linear classifier called Linear Programming Machine, i.e. a SVM using a norm ...
Definition: LPBoost.h:48
float64_t C2
Definition: LPBoost.h:112
float64_t find_max_violator(int32_t &max_dim)
Definition: LPBoost.cpp:69
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:16
The class Features is the base class of all feature objects.
Definition: Features.h:62
MACHINE_PROBLEM_TYPE(PT_BINARY)
void cleanup()
Definition: LPBoost.cpp:57
virtual EFeatureType get_feature_type() const =0
float64_t * u
Definition: LPBoost.h:116
virtual bool train_machine(CFeatures *data=NULL)
Definition: LPBoost.cpp:104
float64_t C1
Definition: LPBoost.h:111

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