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 {
00032 class CFeatureBlockLogisticRegression : public CLinearMachine
00033 {
00034 
00035     public:
00036         MACHINE_PROBLEM_TYPE(PT_BINARY)
00037 
00038         
00039         CFeatureBlockLogisticRegression();
00040 
00048         CFeatureBlockLogisticRegression(
00049              float64_t z, CDotFeatures* training_data, 
00050              CBinaryLabels* training_labels, CIndexBlockRelation* task_relation);
00051 
00053         virtual ~CFeatureBlockLogisticRegression();
00054 
00056         virtual const char* get_name() const 
00057         {
00058             return "FeatureBlockLogisticRegression";
00059         }
00060 
00064         CIndexBlockRelation* get_feature_relation() const;
00065 
00069         void set_feature_relation(CIndexBlockRelation* feature_relation);
00070 
00071         virtual float64_t apply_one(int32_t vec_idx);
00072         
00074         int32_t get_max_iter() const;
00076         float64_t get_q() const;
00078         int32_t get_regularization() const;
00080         int32_t get_termination() const;
00082         float64_t get_tolerance() const;
00084         float64_t get_z() const;
00085 
00087         void set_max_iter(int32_t max_iter);
00089         void set_q(float64_t q);
00091         void set_regularization(int32_t regularization);
00093         void set_termination(int32_t termination);
00095         void set_tolerance(float64_t tolerance);
00097         void set_z(float64_t z);
00098 
00099     protected:
00100         
00101         virtual SGVector<float64_t> apply_get_outputs(CFeatures* data);
00102 
00104         virtual bool train_machine(CFeatures* data=NULL);
00105 
00106     private:
00107 
00109         void register_parameters();
00110 
00111     protected:
00112 
00114         CIndexBlockRelation* m_feature_relation;
00115         
00117         int32_t m_regularization;
00118 
00120         int32_t m_termination;
00121 
00123         int32_t m_max_iter;
00124 
00126         float64_t m_tolerance;
00127 
00129         float64_t m_q;
00130 
00132         float64_t m_z;
00133 
00134 };
00135 }
00136 #endif
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