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MultitaskLogisticRegression.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  * Copyright (C) 2012 Sergey Lisitsyn
8  */
9 
10 #ifndef MULTITASKLOGISTICREGRESSION_H_
11 #define MULTITASKLOGISTICREGRESSION_H_
12 
13 #include <shogun/lib/config.h>
19 
20 #include <vector>
21 #include <set>
22 
23 using namespace std;
24 
25 namespace shogun
26 {
32 {
33 
34  public:
37 
38 
40 
49  float64_t z, CDotFeatures* training_data,
50  CBinaryLabels* training_labels, CTaskRelation* task_relation);
51 
54 
56  virtual const char* get_name() const
57  {
58  return "MultitaskLogisticRegression";
59  }
60 
62  int32_t get_max_iter() const;
64  float64_t get_q() const;
66  int32_t get_regularization() const;
68  int32_t get_termination() const;
70  float64_t get_tolerance() const;
72  float64_t get_z() const;
73 
75  void set_max_iter(int32_t max_iter);
77  void set_q(float64_t q);
79  void set_regularization(int32_t regularization);
81  void set_termination(int32_t termination);
83  void set_tolerance(float64_t tolerance);
85  void set_z(float64_t z);
86 
88  virtual float64_t apply_one(int32_t i);
89 
90  protected:
91 
93  virtual bool train_machine(CFeatures* data=NULL);
94 
96  virtual bool train_locked_implementation(SGVector<index_t>* tasks);
97 
98  private:
99 
101  void register_parameters();
102 
104  void initialize_parameters();
105 
106  protected:
107 
110 
112  int32_t m_termination;
113 
115  int32_t m_max_iter;
116 
119 
122 
125 
126 };
127 }
128 #endif

SHOGUN Machine Learning Toolbox - Documentation