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Perceptron.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) 1999-2009 Soeren Sonnenburg
8  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #ifndef _PERCEPTRON_H___
12 #define _PERCEPTRON_H___
13 
14 #include <shogun/lib/config.h>
15 
16 #include <shogun/lib/common.h>
19 
20 namespace shogun
21 {
32 {
33  public:
34 
37 
39  CPerceptron();
40 
46  CPerceptron(CDotFeatures* traindat, CLabels* trainlab);
47  virtual ~CPerceptron();
48 
54 
56  inline void set_learn_rate(float64_t r)
57  {
58  learn_rate=r;
59  }
60 
62  inline void set_max_iter(int32_t i)
63  {
64  max_iter=i;
65  }
66 
68  void set_initialize_hyperplane(bool initialize_hyperplane);
69 
72 
74  virtual const char* get_name() const { return "Perceptron"; }
75 
76  protected:
85  virtual bool train_machine(CFeatures* data=NULL);
86 
87  protected:
91  int32_t max_iter;
92 
93  private:
98  bool m_initialize_hyperplane;
99 };
100 }
101 #endif
EMachineType
Definition: Machine.h:33
void set_learn_rate(float64_t r)
set learn rate of gradient descent training algorithm
Definition: Perceptron.h:56
The class Labels models labels, i.e. class assignments of objects.
Definition: Labels.h:43
virtual const char * get_name() const
Definition: Perceptron.h:74
bool get_initialize_hyperplane()
get if the hyperplane should be initialized
Definition: Perceptron.cpp:99
Features that support dot products among other operations.
Definition: DotFeatures.h:44
void set_max_iter(int32_t i)
set maximum number of iterations
Definition: Perceptron.h:62
virtual EMachineType get_classifier_type()
Definition: Perceptron.h:53
MACHINE_PROBLEM_TYPE(PT_BINARY)
double float64_t
Definition: common.h:50
void set_initialize_hyperplane(bool initialize_hyperplane)
set if the hyperplane should be initialized
Definition: Perceptron.cpp:94
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
Definition: LinearMachine.h:63
Class Perceptron implements the standard linear (online) perceptron.
Definition: Perceptron.h:31
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
The class Features is the base class of all feature objects.
Definition: Features.h:68
float64_t learn_rate
Definition: Perceptron.h:89
virtual bool train_machine(CFeatures *data=NULL)
Definition: Perceptron.cpp:34
virtual ~CPerceptron()
Definition: Perceptron.cpp:30

SHOGUN Machine Learning Toolbox - Documentation