MulticlassTreeGuidedLogisticRegression.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  * Written (W) 2012 Sergey Lisitsyn
00008  * Copyright (C) 2012 Sergey Lisitsyn
00009  */
00010 
00011 #ifndef MULTICLASSTREEGUIDEDLOGISTICREGRESSION_H_
00012 #define MULTICLASSTREEGUIDEDLOGISTICREGRESSION_H_
00013 #include <shogun/lib/config.h>
00014 #ifdef HAVE_EIGEN3
00015 #include <shogun/lib/common.h>
00016 #include <shogun/features/DotFeatures.h>
00017 #include <shogun/machine/LinearMulticlassMachine.h>
00018 #include <shogun/lib/IndexBlockTree.h>
00019 
00020 namespace shogun
00021 {
00022 
00025 class CMulticlassTreeGuidedLogisticRegression : public CLinearMulticlassMachine
00026 {
00027     public:
00028         MACHINE_PROBLEM_TYPE(PT_MULTICLASS)
00029 
00030         
00031         CMulticlassTreeGuidedLogisticRegression();
00032 
00039         CMulticlassTreeGuidedLogisticRegression(float64_t z, CDotFeatures* feats, CLabels* labs, CIndexBlockTree* tree);
00040 
00042         virtual ~CMulticlassTreeGuidedLogisticRegression();
00043 
00045         virtual const char* get_name() const
00046         {
00047             return "MulticlassTreeGuidedLogisticRegression";
00048         }
00049 
00053         inline void set_z(float64_t z)
00054         {
00055             ASSERT(z>0);
00056             m_z = z;
00057         }
00061         inline float64_t get_z() const { return m_z; }
00062 
00066         inline void set_epsilon(float64_t epsilon)
00067         {
00068             ASSERT(epsilon>0);
00069             m_epsilon = epsilon;
00070         }
00074         inline float64_t get_epsilon() const { return m_epsilon; }
00075 
00079         inline void set_max_iter(int32_t max_iter)
00080         {
00081             ASSERT(max_iter>0);
00082             m_max_iter = max_iter;
00083         }
00087         inline int32_t get_max_iter() const { return m_max_iter; }
00088         
00092         inline void set_index_tree(CIndexBlockTree* index_tree)
00093         {
00094             SG_REF(index_tree);
00095             SG_UNREF(m_index_tree);
00096             m_index_tree = index_tree;
00097         }
00101         inline CIndexBlockTree* get_index_tree() const
00102         {
00103             SG_REF(m_index_tree);
00104             return m_index_tree;
00105         }
00106 
00107 protected:
00108 
00110         virtual bool train_machine(CFeatures* data = NULL);
00111 
00112 private:
00113 
00115         void init_defaults();
00116 
00118         void register_parameters();
00119 
00120 protected:
00121 
00123         CIndexBlockTree* m_index_tree;
00124 
00126         float64_t m_z;
00127 
00129         float64_t m_epsilon;
00130 
00132         int32_t m_max_iter;
00133 
00134 };
00135 }
00136 #endif /* HAVE_EIGEN3 */
00137 #endif
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