WeightedDegreePositionStringKernel.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) 1999-2009 Soeren Sonnenburg
00008  * Written (W) 1999-2008 Gunnar Raetsch
00009  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
00010  */
00011 
00012 #ifndef _WEIGHTEDDEGREEPOSITIONSTRINGKERNEL_H___
00013 #define _WEIGHTEDDEGREEPOSITIONSTRINGKERNEL_H___
00014 
00015 #include <shogun/lib/common.h>
00016 #include <shogun/kernel/string/StringKernel.h>
00017 #include <shogun/kernel/string/WeightedDegreeStringKernel.h>
00018 #include <shogun/lib/Trie.h>
00019 
00020 namespace shogun
00021 {
00022 
00023 class CSVM;
00024 
00048 class CWeightedDegreePositionStringKernel: public CStringKernel<char>
00049 {
00050     public:
00052         CWeightedDegreePositionStringKernel();
00053 
00061         CWeightedDegreePositionStringKernel(
00062             int32_t size, int32_t degree,
00063             int32_t max_mismatch=0, int32_t mkl_stepsize=1);
00064 
00075         CWeightedDegreePositionStringKernel(
00076             int32_t size, float64_t* weights, int32_t degree,
00077             int32_t max_mismatch, int32_t* shift, int32_t shift_len,
00078             int32_t mkl_stepsize=1);
00079 
00086         CWeightedDegreePositionStringKernel(
00087             CStringFeatures<char>* l, CStringFeatures<char>* r, int32_t degree);
00088 
00089         virtual ~CWeightedDegreePositionStringKernel();
00090 
00097         virtual bool init(CFeatures* l, CFeatures* r);
00098 
00100         virtual void cleanup();
00101 
00106         virtual EKernelType get_kernel_type() { return K_WEIGHTEDDEGREEPOS; }
00107 
00112         virtual const char* get_name() const { return "WeightedDegreePositionStringKernel"; }
00113 
00121         virtual bool init_optimization(
00122             int32_t p_count, int32_t *IDX, float64_t * alphas)
00123         {
00124             return init_optimization(p_count, IDX, alphas, -1);
00125         }
00126 
00138         virtual bool init_optimization(
00139             int32_t count, int32_t *IDX, float64_t * alphas, int32_t tree_num,
00140             int32_t upto_tree=-1);
00141 
00146         virtual bool delete_optimization();
00147 
00153         virtual float64_t compute_optimized(int32_t idx)
00154         {
00155             ASSERT(get_is_initialized());
00156             ASSERT(alphabet);
00157             ASSERT(alphabet->get_alphabet()==DNA || alphabet->get_alphabet()==RNA);
00158             return compute_by_tree(idx);
00159         }
00160 
00165         static void* compute_batch_helper(void* p);
00166 
00177         virtual void compute_batch(
00178             int32_t num_vec, int32_t* vec_idx, float64_t* target,
00179             int32_t num_suppvec, int32_t* IDX, float64_t* alphas,
00180             float64_t factor=1.0);
00181 
00185         virtual void clear_normal()
00186         {
00187             if ((opt_type==FASTBUTMEMHUNGRY) && (tries.get_use_compact_terminal_nodes()))
00188             {
00189                 tries.set_use_compact_terminal_nodes(false) ;
00190                 SG_DEBUG( "disabling compact trie nodes with FASTBUTMEMHUNGRY\n") ;
00191             }
00192 
00193             if (get_is_initialized())
00194             {
00195                 if (opt_type==SLOWBUTMEMEFFICIENT)
00196                     tries.delete_trees(true);
00197                 else if (opt_type==FASTBUTMEMHUNGRY)
00198                     tries.delete_trees(false);  // still buggy
00199                 else
00200                     SG_ERROR( "unknown optimization type\n");
00201 
00202                 set_is_initialized(false);
00203             }
00204         }
00205 
00211         virtual void add_to_normal(int32_t idx, float64_t weight)
00212         {
00213             add_example_to_tree(idx, weight);
00214             set_is_initialized(true);
00215         }
00216 
00221         virtual int32_t get_num_subkernels()
00222         {
00223             if (position_weights!=NULL)
00224                 return (int32_t) ceil(1.0*seq_length/mkl_stepsize) ;
00225             if (length==0)
00226                 return (int32_t) ceil(1.0*get_degree()/mkl_stepsize);
00227             return (int32_t) ceil(1.0*get_degree()*length/mkl_stepsize) ;
00228         }
00229 
00235         inline void compute_by_subkernel(
00236             int32_t idx, float64_t * subkernel_contrib)
00237         {
00238             if (get_is_initialized())
00239             {
00240                 compute_by_tree(idx, subkernel_contrib);
00241                 return ;
00242             }
00243 
00244             SG_ERROR( "CWeightedDegreePositionStringKernel optimization not initialized\n") ;
00245         }
00246 
00252         inline const float64_t* get_subkernel_weights(int32_t& num_weights)
00253         {
00254             num_weights = get_num_subkernels() ;
00255 
00256             SG_FREE(weights_buffer);
00257             weights_buffer = SG_MALLOC(float64_t, num_weights);
00258 
00259             if (position_weights!=NULL)
00260                 for (int32_t i=0; i<num_weights; i++)
00261                     weights_buffer[i] = position_weights[i*mkl_stepsize] ;
00262             else
00263                 for (int32_t i=0; i<num_weights; i++)
00264                     weights_buffer[i] = weights[i*mkl_stepsize] ;
00265 
00266             return weights_buffer ;
00267         }
00268 
00273         virtual void set_subkernel_weights(SGVector<float64_t> w)
00274         {
00275             float64_t* weights2=w.vector;
00276             int32_t num_weights2=w.vlen;
00277 
00278             int32_t num_weights = get_num_subkernels() ;
00279             if (num_weights!=num_weights2)
00280                 SG_ERROR( "number of weights do not match\n") ;
00281 
00282             if (position_weights!=NULL)
00283                 for (int32_t i=0; i<num_weights; i++)
00284                     for (int32_t j=0; j<mkl_stepsize; j++)
00285                     {
00286                         if (i*mkl_stepsize+j<seq_length)
00287                             position_weights[i*mkl_stepsize+j] = weights2[i] ;
00288                     }
00289             else if (length==0)
00290             {
00291                 for (int32_t i=0; i<num_weights; i++)
00292                     for (int32_t j=0; j<mkl_stepsize; j++)
00293                         if (i*mkl_stepsize+j<get_degree())
00294                             weights[i*mkl_stepsize+j] = weights2[i] ;
00295             }
00296             else
00297             {
00298                 for (int32_t i=0; i<num_weights; i++)
00299                     for (int32_t j=0; j<mkl_stepsize; j++)
00300                         if (i*mkl_stepsize+j<get_degree()*length)
00301                             weights[i*mkl_stepsize+j] = weights2[i] ;
00302             }
00303         }
00304 
00305         // other kernel tree operations
00311         float64_t* compute_abs_weights(int32_t & len);
00312 
00317         bool is_tree_initialized() { return tree_initialized; }
00318 
00323         inline int32_t get_max_mismatch() { return max_mismatch; }
00324 
00329         inline int32_t get_degree() { return degree; }
00330 
00336         inline float64_t *get_degree_weights(int32_t& d, int32_t& len)
00337         {
00338             d=degree;
00339             len=length;
00340             return weights;
00341         }
00342 
00348         inline float64_t *get_weights(int32_t& num_weights)
00349         {
00350             if (position_weights!=NULL)
00351             {
00352                 num_weights = seq_length ;
00353                 return position_weights ;
00354             }
00355             if (length==0)
00356                 num_weights = degree ;
00357             else
00358                 num_weights = degree*length ;
00359             return weights;
00360         }
00361 
00367         inline float64_t *get_position_weights(int32_t& len)
00368         {
00369             len=seq_length;
00370             return position_weights;
00371         }
00372 
00377         void set_shifts(SGVector<int32_t> shifts);
00378 
00383         bool set_weights(SGMatrix<float64_t> new_weights);
00384 
00389         virtual bool set_wd_weights();
00390 
00396         virtual void set_position_weights(SGVector<float64_t> pws);
00397 
00405         bool set_position_weights_lhs(float64_t* pws, int32_t len, int32_t num);
00406 
00414         bool set_position_weights_rhs(float64_t* pws, int32_t len, int32_t num);
00415 
00420         bool init_block_weights();
00421 
00426         bool init_block_weights_from_wd();
00427 
00432         bool init_block_weights_from_wd_external();
00433 
00438         bool init_block_weights_const();
00439 
00444         bool init_block_weights_linear();
00445 
00450         bool init_block_weights_sqpoly();
00451 
00456         bool init_block_weights_cubicpoly();
00457 
00462         bool init_block_weights_exp();
00463 
00468         bool init_block_weights_log();
00469 
00474         bool delete_position_weights()
00475         {
00476             SG_FREE(position_weights);
00477             position_weights=NULL;
00478             return true;
00479         }
00480 
00485         bool delete_position_weights_lhs()
00486         {
00487             SG_FREE(position_weights_lhs);
00488             position_weights_lhs=NULL;
00489             return true;
00490         }
00491 
00496         bool delete_position_weights_rhs()
00497         {
00498             SG_FREE(position_weights_rhs);
00499             position_weights_rhs=NULL;
00500             return true;
00501         }
00502 
00508         virtual float64_t compute_by_tree(int32_t idx);
00509 
00515         virtual void compute_by_tree(int32_t idx, float64_t* LevelContrib);
00516 
00529         float64_t* compute_scoring(
00530             int32_t max_degree, int32_t& num_feat, int32_t& num_sym,
00531             float64_t* target, int32_t num_suppvec, int32_t* IDX,
00532             float64_t* weights);
00533 
00542         char* compute_consensus(
00543             int32_t &num_feat, int32_t num_suppvec, int32_t* IDX,
00544             float64_t* alphas);
00545 
00557         float64_t* extract_w(
00558             int32_t max_degree, int32_t& num_feat, int32_t& num_sym,
00559             float64_t* w_result, int32_t num_suppvec, int32_t* IDX,
00560             float64_t* alphas);
00561 
00574         float64_t* compute_POIM(
00575             int32_t max_degree, int32_t& num_feat, int32_t& num_sym,
00576             float64_t* poim_result, int32_t num_suppvec, int32_t* IDX,
00577             float64_t* alphas, float64_t* distrib);
00578 
00583         void prepare_POIM2(SGMatrix<float64_t> distrib);
00584 
00591         void compute_POIM2(int32_t max_degree, CSVM* svm);
00592 
00597         SGVector<float64_t> get_POIM2();
00598 
00600         void cleanup_POIM2();
00601 
00602     protected:
00604         void create_empty_tries();
00605 
00611         virtual void add_example_to_tree(
00612             int32_t idx, float64_t weight);
00613 
00620         void add_example_to_single_tree(
00621             int32_t idx, float64_t weight, int32_t tree_num);
00622 
00631         virtual float64_t compute(int32_t idx_a, int32_t idx_b);
00632 
00641         float64_t compute_with_mismatch(
00642             char* avec, int32_t alen, char* bvec, int32_t blen);
00643 
00652         float64_t compute_without_mismatch(
00653             char* avec, int32_t alen, char* bvec, int32_t blen);
00654 
00663         float64_t compute_without_mismatch_matrix(
00664             char* avec, int32_t alen, char* bvec, int32_t blen);
00665 
00676         float64_t compute_without_mismatch_position_weights(
00677             char* avec, float64_t *posweights_lhs, int32_t alen,
00678             char* bvec, float64_t *posweights_rhs, int32_t blen);
00679 
00681         virtual void remove_lhs();
00682 
00691         virtual void load_serializable_post() throw (ShogunException);
00692 
00693     private:
00696         void init();
00697 
00698     protected:
00700         float64_t* weights;
00702         int32_t weights_degree;
00704         int32_t weights_length;
00705 
00707         float64_t* position_weights;
00709         int32_t position_weights_len;
00710 
00712         float64_t* position_weights_lhs;
00714         int32_t position_weights_lhs_len;
00716         float64_t* position_weights_rhs;
00718         int32_t position_weights_rhs_len;
00720         bool* position_mask;
00721 
00723         float64_t* weights_buffer;
00725         int32_t mkl_stepsize;
00726 
00728         int32_t degree;
00730         int32_t length;
00731 
00733         int32_t max_mismatch;
00735         int32_t seq_length;
00736 
00738         int32_t *shift;
00740         int32_t shift_len;
00742         int32_t max_shift;
00743 
00745         bool block_computation;
00746 
00748         float64_t* block_weights;
00750         EWDKernType type;
00752         int32_t which_degree;
00753 
00755         CTrie<DNATrie> tries;
00757         CTrie<POIMTrie> poim_tries;
00758 
00760         bool tree_initialized;
00762         bool use_poim_tries;
00763 
00765         float64_t* m_poim_distrib;
00767         float64_t* m_poim;
00768 
00770         int32_t m_poim_num_sym;
00772         int32_t m_poim_num_feat;
00774         int32_t m_poim_result_len;
00775 
00777         CAlphabet* alphabet;
00778 };
00779 }
00780 #endif /* _WEIGHTEDDEGREEPOSITIONSTRINGKERNEL_H__ */
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