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StochasticSOSVM.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) 2013 Shell Hu
8  * Copyright (C) 2013 Shell Hu
9  */
10 
11 #ifndef __STOCHASTIC_SOSVM_H__
12 #define __STOCHASTIC_SOSVM_H__
13 
14 #include <shogun/lib/SGVector.h>
16 
17 namespace shogun
18 {
19 
32 {
33 public:
36 
45  bool do_weighted_averaging = true, bool verbose = false);
46 
49 
51  virtual const char* get_name() const { return "StochasticSOSVM"; }
52 
58 
60  float64_t get_lambda() const;
61 
66  void set_lambda(float64_t lbda);
67 
69  int32_t get_num_iter() const;
70 
75  void set_num_iter(int32_t num_iter);
76 
78  int32_t get_debug_multiplier() const;
79 
84  void set_debug_multiplier(int32_t multiplier);
85 
87  uint32_t get_rand_seed() const;
88 
93  void set_rand_seed(uint32_t rand_seed);
94 
95 protected:
101  virtual bool train_machine(CFeatures* data = NULL);
102 
103 private:
105  void init();
106 
107 private:
109  float64_t m_lambda;
110 
112  int32_t m_num_iter;
113 
115  bool m_do_weighted_averaging;
116 
118  uint32_t m_rand_seed;
119 
126  int32_t m_debug_multiplier;
127 
128 }; /* CStochasticSOSVM */
129 
130 } /* namespace shogun */
131 
132 #endif
EMachineType
Definition: Machine.h:33
Base class of the labels used in Structured Output (SO) problems.
uint32_t get_rand_seed() const
int32_t get_debug_multiplier() const
void set_debug_multiplier(int32_t multiplier)
virtual const char * get_name() const
virtual bool train_machine(CFeatures *data=NULL)
void set_num_iter(int32_t num_iter)
void set_rand_seed(uint32_t rand_seed)
double float64_t
Definition: common.h:48
Class CStochasticSOSVM solves SOSVM using stochastic subgradient descent on the SVM primal problem [1...
Class CStructuredModel that represents the application specific model and contains most of the applic...
The class Features is the base class of all feature objects.
Definition: Features.h:62
void set_lambda(float64_t lbda)
virtual EMachineType get_classifier_type()
float64_t get_lambda() const
int32_t get_num_iter() const

SHOGUN Machine Learning Toolbox - Documentation