MultitaskLogisticRegression.h

Go to the documentation of this file.
00001 /*
00002  * This program is free software; you can redistribute it and/or modify
00003  * it under the terms of the GNU General Public License as published by
00004  * the Free Software Foundation; either version 3 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Copyright (C) 2012 Sergey Lisitsyn
00008  */
00009 
00010 #ifndef  MULTITASKLOGISTICREGRESSION_H_
00011 #define  MULTITASKLOGISTICREGRESSION_H_
00012 
00013 #include <shogun/lib/config.h>
00014 #include <shogun/transfer/multitask/MultitaskLinearMachine.h>
00015 #include <shogun/transfer/multitask/TaskRelation.h>
00016 #include <shogun/transfer/multitask/TaskGroup.h>
00017 #include <shogun/transfer/multitask/TaskTree.h>
00018 #include <shogun/transfer/multitask/Task.h>
00019 
00020 #include <vector>
00021 #include <set>
00022 
00023 using namespace std;
00024 
00025 namespace shogun
00026 {
00035 class CMultitaskLogisticRegression : public CMultitaskLinearMachine
00036 {
00037 
00038     public:
00040         MACHINE_PROBLEM_TYPE(PT_BINARY)
00041 
00042         
00043         CMultitaskLogisticRegression();
00044 
00052         CMultitaskLogisticRegression(
00053              float64_t z, CDotFeatures* training_data, 
00054              CBinaryLabels* training_labels, CTaskRelation* task_relation);
00055 
00057         virtual ~CMultitaskLogisticRegression();
00058 
00060         virtual const char* get_name() const 
00061         {
00062             return "MultitaskLogisticRegression";
00063         }
00064         
00066         int32_t get_max_iter() const;
00068         float64_t get_q() const;
00070         int32_t get_regularization() const;
00072         int32_t get_termination() const;
00074         float64_t get_tolerance() const;
00076         float64_t get_z() const;
00077 
00079         void set_max_iter(int32_t max_iter);
00081         void set_q(float64_t q);
00083         void set_regularization(int32_t regularization);
00085         void set_termination(int32_t termination);
00087         void set_tolerance(float64_t tolerance);
00089         void set_z(float64_t z);
00090 
00092         virtual float64_t apply_one(int32_t i);
00093 
00094     protected:
00095 
00097         virtual bool train_machine(CFeatures* data=NULL);
00098 
00100         virtual bool train_locked_implementation(SGVector<index_t>* tasks);
00101 
00102     private:
00103 
00105         void register_parameters();
00106 
00108         void initialize_parameters();
00109 
00110     protected:
00111 
00113         int32_t m_regularization;
00114 
00116         int32_t m_termination;
00117 
00119         int32_t m_max_iter;
00120 
00122         float64_t m_tolerance;
00123 
00125         float64_t m_q;
00126 
00128         float64_t m_z;
00129 
00130 };
00131 }
00132 #endif
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Defines

SHOGUN Machine Learning Toolbox - Documentation