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FeatureBlockLogisticRegression.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  FEATUREBLOCKLOGISTICREGRESSION_H_
00011 #define  FEATUREBLOCKLOGISTICREGRESSION_H_
00012 
00013 #include <shogun/lib/config.h>
00014 #include <shogun/lib/IndexBlockRelation.h>
00015 #include <shogun/machine/LinearMachine.h>
00016 
00017 namespace shogun
00018 {
00030 class CFeatureBlockLogisticRegression : public CLinearMachine
00031 {
00032 
00033     public:
00034         MACHINE_PROBLEM_TYPE(PT_BINARY)
00035 
00036         
00037         CFeatureBlockLogisticRegression();
00038 
00046         CFeatureBlockLogisticRegression(
00047              float64_t z, CDotFeatures* training_data, 
00048              CBinaryLabels* training_labels, CIndexBlockRelation* task_relation);
00049 
00051         virtual ~CFeatureBlockLogisticRegression();
00052 
00054         virtual const char* get_name() const 
00055         {
00056             return "FeatureBlockLogisticRegression";
00057         }
00058 
00062         CIndexBlockRelation* get_feature_relation() const;
00063 
00067         void set_feature_relation(CIndexBlockRelation* feature_relation);
00068 
00069         virtual float64_t apply_one(int32_t vec_idx);
00070         
00072         int32_t get_max_iter() const;
00074         float64_t get_q() const;
00076         int32_t get_regularization() const;
00078         int32_t get_termination() const;
00080         float64_t get_tolerance() const;
00082         float64_t get_z() const;
00083 
00085         void set_max_iter(int32_t max_iter);
00087         void set_q(float64_t q);
00089         void set_regularization(int32_t regularization);
00091         void set_termination(int32_t termination);
00093         void set_tolerance(float64_t tolerance);
00095         void set_z(float64_t z);
00096 
00097     protected:
00098         
00099         virtual SGVector<float64_t> apply_get_outputs(CFeatures* data);
00100 
00102         virtual bool train_machine(CFeatures* data=NULL);
00103 
00104     private:
00105 
00107         void register_parameters();
00108 
00109     protected:
00110 
00112         CIndexBlockRelation* m_feature_relation;
00113         
00115         int32_t m_regularization;
00116 
00118         int32_t m_termination;
00119 
00121         int32_t m_max_iter;
00122 
00124         float64_t m_tolerance;
00125 
00127         float64_t m_q;
00128 
00130         float64_t m_z;
00131 
00132 };
00133 }
00134 #endif
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