MultitaskKernelMaskPairNormalizer.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 2 of the License, or
00005  * (at your option) any later version.
00006  *
00007  * Written (W) 2010 Christian Widmer
00008  * Copyright (C) 2010 Max-Planck-Society
00009  */
00010 
00011 #ifndef _MULTITASKKERNELMASKPAIRNORMALIZER_H___
00012 #define _MULTITASKKERNELMASKPAIRNORMALIZER_H___
00013 
00014 #include "kernel/KernelNormalizer.h"
00015 #include "kernel/Kernel.h"
00016 
00017 
00018 namespace shogun
00019 {
00020 
00021 
00026 class CMultitaskKernelMaskPairNormalizer: public CKernelNormalizer
00027 {
00028 
00029 public:
00030 
00033     CMultitaskKernelMaskPairNormalizer() :
00034         CKernelNormalizer(), scale(1.0), normalization_constant(1.0)
00035     {
00036     }
00037 
00043     CMultitaskKernelMaskPairNormalizer(std::vector<int32_t> task_vector_,
00044                                        std::vector<std::pair<int32_t, int32_t> > active_pairs_) :
00045                                        scale(1.0), normalization_constant(1.0)
00046     {
00047 
00048         set_task_vector(task_vector_);
00049         active_pairs = active_pairs_;
00050 
00051     }
00052 
00053 
00055     virtual ~CMultitaskKernelMaskPairNormalizer()
00056     {
00057     }
00058 
00061     virtual bool init(CKernel* k)
00062     {
00063         ASSERT(k);
00064         int32_t num_lhs = k->get_num_vec_lhs();
00065         int32_t num_rhs = k->get_num_vec_rhs();
00066         ASSERT(num_lhs>0);
00067         ASSERT(num_rhs>0);
00068 
00069 
00070         //same as first-element normalizer
00071         CFeatures* old_lhs=k->lhs;
00072         CFeatures* old_rhs=k->rhs;
00073         k->lhs=old_lhs;
00074         k->rhs=old_lhs;
00075 
00076 
00077         if (std::string(k->get_name()) == "WeightedDegree") {
00078             SG_INFO("using first-element normalization\n");
00079             scale=k->compute(0, 0);
00080         } else {
00081             SG_INFO("no inner normalization for non-WDK kernel\n");
00082             scale=1.0;
00083         }
00084 
00085         k->lhs=old_lhs;
00086         k->rhs=old_rhs;
00087 
00088 
00089         return true;
00090     }
00091 
00092 
00093 
00099     inline virtual float64_t normalize(float64_t value, int32_t idx_lhs, int32_t idx_rhs)
00100     {
00101 
00102         //lookup tasks
00103         int32_t task_idx_lhs = task_vector_lhs[idx_lhs];
00104         int32_t task_idx_rhs = task_vector_rhs[idx_rhs];
00105 
00106         //lookup similarity
00107         float64_t task_similarity = get_similarity(task_idx_lhs, task_idx_rhs);
00108 
00109         //take task similarity into account
00110         float64_t similarity = (value/scale) * task_similarity;
00111 
00112 
00113         return similarity;
00114 
00115     }
00116 
00121     inline virtual float64_t normalize_lhs(float64_t value, int32_t idx_lhs)
00122     {
00123         SG_ERROR("normalize_lhs not implemented");
00124         return 0;
00125     }
00126 
00131     inline virtual float64_t normalize_rhs(float64_t value, int32_t idx_rhs)
00132     {
00133         SG_ERROR("normalize_rhs not implemented");
00134         return 0;
00135     }
00136 
00138     std::vector<int32_t> get_task_vector_lhs() const
00139     {
00140         return task_vector_lhs;
00141     }
00142 
00143 
00145     void set_task_vector_lhs(std::vector<int32_t> vec)
00146     {
00147 
00148         task_vector_lhs.clear();
00149 
00150         for (int32_t i = 0; i != (int32_t)(vec.size()); ++i)
00151         {
00152             task_vector_lhs.push_back(vec[i]);
00153         }
00154 
00155     }
00156 
00159     std::vector<int32_t> get_task_vector_rhs() const
00160     {
00161         return task_vector_rhs;
00162     }
00163 
00164 
00166     void set_task_vector_rhs(std::vector<int32_t> vec)
00167     {
00168 
00169         task_vector_rhs.clear();
00170 
00171         for (int32_t i = 0; i != (int32_t)(vec.size()); ++i)
00172         {
00173             task_vector_rhs.push_back(vec[i]);
00174         }
00175 
00176     }
00177 
00179     void set_task_vector(std::vector<int32_t> vec)
00180     {
00181         set_task_vector_lhs(vec);
00182         set_task_vector_rhs(vec);
00183     }
00184 
00185 
00191     float64_t get_similarity(int32_t task_lhs, int32_t task_rhs)
00192     {
00193 
00194         float64_t similarity = 0.0;
00195 
00196         for (int32_t i=0; i!=static_cast<int>(active_pairs.size()); i++)
00197         {
00198             std::pair<int32_t, int32_t> block = active_pairs[i];
00199 
00200             // ignore order of pair
00201             if ((block.first==task_lhs && block.second==task_rhs) ||
00202                 (block.first==task_rhs && block.second==task_lhs))
00203             {
00204                 similarity = 1.0 / normalization_constant;
00205                 break;
00206             }
00207         }
00208 
00209 
00210         return similarity;
00211 
00212     }
00213 
00215     std::vector<std::pair<int32_t, int32_t> > get_active_pairs()
00216     {
00217         return active_pairs;
00218     }
00219 
00221     float64_t get_normalization_constant () const
00222     {
00223         return normalization_constant;
00224     }
00225 
00227     float64_t set_normalization_constant(float64_t constant)
00228     {
00229         normalization_constant = constant;
00230 
00231         SG_NOTIMPLEMENTED;
00232         return 0.0;
00233     }
00234 
00235 
00237     inline virtual const char* get_name() const
00238     {
00239         return "MultitaskKernelMaskPairNormalizer";
00240     }
00241 
00242 
00243 
00244 protected:
00245 
00247     std::vector<std::pair<int32_t, int32_t> > active_pairs;
00248 
00250     std::vector<int32_t> task_vector_lhs;
00251 
00253     std::vector<int32_t> task_vector_rhs;
00254 
00256     float64_t scale;
00257 
00259     float64_t normalization_constant;
00260 
00261 };
00262 }
00263 #endif
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