MultitaskLeastSquaresRegression.h

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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  MULTITASKLSREGRESSION_H_
00011 #define  MULTITASKLSREGRESSION_H_
00012 
00013 #include <shogun/lib/config.h>
00014 #include <shogun/transfer/multitask/TaskRelation.h>
00015 #include <shogun/transfer/multitask/MultitaskLinearMachine.h>
00016 
00017 namespace shogun
00018 {
00027 class CMultitaskLeastSquaresRegression : public CMultitaskLinearMachine
00028 {
00029 
00030     public:
00032         MACHINE_PROBLEM_TYPE(PT_REGRESSION)
00033 
00034         
00035         CMultitaskLeastSquaresRegression();
00036 
00044         CMultitaskLeastSquaresRegression(
00045              float64_t z, CDotFeatures* training_data, 
00046              CRegressionLabels* training_labels, CTaskRelation* task_relation);
00047 
00049         virtual ~CMultitaskLeastSquaresRegression();
00050 
00052         virtual const char* get_name() const 
00053         {
00054             return "MultitaskLeastSquaresRegression";
00055         }
00056         
00058         int32_t get_max_iter() const;
00060         float64_t get_q() const;
00062         int32_t get_regularization() const;
00064         int32_t get_termination() const;
00066         float64_t get_tolerance() const;
00068         float64_t get_z() const;
00069 
00071         void set_max_iter(int32_t max_iter);
00073         void set_q(float64_t q);
00075         void set_regularization(int32_t regularization);
00077         void set_termination(int32_t termination);
00079         void set_tolerance(float64_t tolerance);
00081         void set_z(float64_t z);
00082 
00084         virtual float64_t apply_one(int32_t i);
00085 
00086     protected:
00087 
00089         virtual bool train_machine(CFeatures* data=NULL);
00090 
00092         virtual bool train_locked_implementation(SGVector<index_t>* tasks);
00093 
00094     private:
00095 
00097         void register_parameters();
00098 
00100         void initialize_parameters();
00101 
00102     protected:
00103 
00105         int32_t m_regularization;
00106 
00108         int32_t m_termination;
00109 
00111         int32_t m_max_iter;
00112 
00114         float64_t m_tolerance;
00115 
00117         float64_t m_q;
00118 
00120         float64_t m_z;
00121 
00122 };
00123 }
00124 #endif
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