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MultitaskClusteredLogisticRegression.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 MULTITASKCLUSTEREDLOGISTICREGRESSION_H_
11 #define MULTITASKCLUSTEREDLOGISTICREGRESSION_H_
12 
13 #include <shogun/lib/config.h>
14 
16 
17 namespace shogun
18 {
26 {
27 
28  public:
30 
31 
33 
44  float64_t rho1, float64_t rho2, CDotFeatures* training_data,
45  CBinaryLabels* training_labels, CTaskGroup* task_group,
46  int32_t num_clusters);
47 
50 
55  int32_t get_rho1() const;
56 
60  void set_rho1(float64_t rho1);
61 
64  int32_t get_rho2() const;
65 
69  void set_rho2(float64_t rho2);
70 
75  int32_t get_num_clusters() const;
76 
80  void set_num_clusters(int32_t num_clusters);
81 
86  virtual const char* get_name() const
87  {
88  return "MultitaskClusteredLogisticRegression";
89  }
90 
91  protected:
92 
97  virtual bool train_machine(CFeatures* data=NULL);
98 
103  virtual bool train_locked_implementation(SGVector<index_t>* tasks);
104 
105  protected:
106 
109 
112 
114  int32_t m_num_clusters;
115 };
116 }
117 #endif
class MultitaskClusteredLogisticRegression, a classifier for multitask problems. Supports only task g...
class TaskGroup used to represent a group of tasks. Tasks in group do not overlap.
Definition: TaskGroup.h:28
Features that support dot products among other operations.
Definition: DotFeatures.h:44
class Multitask Logistic Regression used to solve classification problems with a few tasks related vi...
#define MACHINE_PROBLEM_TYPE(PT)
Definition: Machine.h:120
double float64_t
Definition: common.h:50
virtual bool train_locked_implementation(SGVector< index_t > *tasks)
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
Binary Labels for binary classification.
Definition: BinaryLabels.h:37

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