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SVMLin.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) 2006-2009 Soeren Sonnenburg
8  * Copyright (C) 2006-2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #ifndef _SVMLIN_H___
12 #define _SVMLIN_H___
13 
14 #include <shogun/lib/common.h>
17 #include <shogun/labels/Labels.h>
18 
19 namespace shogun
20 {
22 class CSVMLin : public CLinearMachine
23 {
24  public:
25 
28 
30  CSVMLin();
31 
38  CSVMLin(
39  float64_t C, CDotFeatures* traindat,
40  CLabels* trainlab);
41  virtual ~CSVMLin();
42 
48 
55  inline void set_C(float64_t c_neg, float64_t c_pos) { C1=c_neg; C2=c_pos; }
56 
61  inline float64_t get_C1() { return C1; }
62 
67  inline float64_t get_C2() { return C2; }
68 
73  inline void set_bias_enabled(bool enable_bias) { use_bias=enable_bias; }
74 
79  inline bool get_bias_enabled() { return use_bias; }
80 
85  inline void set_epsilon(float64_t eps) { epsilon=eps; }
86 
91  inline float64_t get_epsilon() { return epsilon; }
92 
94  virtual const char* get_name() const { return "SVMLin"; }
95 
96  protected:
105  virtual bool train_machine(CFeatures* data=NULL);
106 
107  protected:
114 
116  bool use_bias;
117 };
118 }
119 #endif
class SVMLin
Definition: SVMLin.h:22
EMachineType
Definition: Machine.h:33
MACHINE_PROBLEM_TYPE(PT_BINARY)
The class Labels models labels, i.e. class assignments of objects.
Definition: Labels.h:43
float64_t C1
Definition: SVMLin.h:109
bool use_bias
Definition: SVMLin.h:116
void set_epsilon(float64_t eps)
Definition: SVMLin.h:85
float64_t get_C2()
Definition: SVMLin.h:67
Features that support dot products among other operations.
Definition: DotFeatures.h:44
float64_t epsilon
Definition: SVMLin.h:113
void set_C(float64_t c_neg, float64_t c_pos)
Definition: SVMLin.h:55
bool get_bias_enabled()
Definition: SVMLin.h:79
float64_t get_epsilon()
Definition: SVMLin.h:91
virtual ~CSVMLin()
Definition: SVMLin.cpp:36
float64_t get_C1()
Definition: SVMLin.h:61
double float64_t
Definition: common.h:50
virtual const char * get_name() const
Definition: SVMLin.h:94
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
Definition: LinearMachine.h:63
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
virtual bool train_machine(CFeatures *data=NULL)
Definition: SVMLin.cpp:40
The class Features is the base class of all feature objects.
Definition: Features.h:68
virtual EMachineType get_classifier_type()
Definition: SVMLin.h:47
void set_bias_enabled(bool enable_bias)
Definition: SVMLin.h:73
float64_t C2
Definition: SVMLin.h:111

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