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SHOGUN v0.9.3
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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 * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society 00009 */ 00010 00011 #include "lib/common.h" 00012 #include "lib/io.h" 00013 #include "kernel/SparsePolyKernel.h" 00014 #include "kernel/SqrtDiagKernelNormalizer.h" 00015 #include "features/SparseFeatures.h" 00016 00017 using namespace shogun; 00018 00019 CSparsePolyKernel::CSparsePolyKernel(int32_t size, int32_t d, bool i) 00020 : CSparseKernel<float64_t>(size), degree(d), inhomogene(i) 00021 { 00022 set_normalizer(new CSqrtDiagKernelNormalizer()); 00023 } 00024 00025 CSparsePolyKernel::CSparsePolyKernel( 00026 CSparseFeatures<float64_t>* l, CSparseFeatures<float64_t>* r, 00027 int32_t size, int32_t d, bool i) 00028 : CSparseKernel<float64_t>(size),degree(d),inhomogene(i) 00029 { 00030 set_normalizer(new CSqrtDiagKernelNormalizer()); 00031 init(l,r); 00032 } 00033 00034 CSparsePolyKernel::~CSparsePolyKernel() 00035 { 00036 cleanup(); 00037 } 00038 00039 bool CSparsePolyKernel::init(CFeatures* l, CFeatures* r) 00040 { 00041 CSparseKernel<float64_t>::init(l,r); 00042 return init_normalizer(); 00043 } 00044 00045 void CSparsePolyKernel::cleanup() 00046 { 00047 CKernel::cleanup(); 00048 } 00049 00050 float64_t CSparsePolyKernel::compute(int32_t idx_a, int32_t idx_b) 00051 { 00052 int32_t alen=0; 00053 int32_t blen=0; 00054 bool afree=false; 00055 bool bfree=false; 00056 00057 TSparseEntry<float64_t>* avec=((CSparseFeatures<float64_t>*) lhs)-> 00058 get_sparse_feature_vector(idx_a, alen, afree); 00059 TSparseEntry<float64_t>* bvec=((CSparseFeatures<float64_t>*) rhs)-> 00060 get_sparse_feature_vector(idx_b, blen, bfree); 00061 00062 float64_t result=((CSparseFeatures<float64_t>*) lhs)->sparse_dot(1.0,avec, alen, bvec, blen); 00063 00064 if (inhomogene) 00065 result+=1; 00066 00067 result=CMath::pow(result, degree); 00068 00069 ((CSparseFeatures<float64_t>*) lhs)->free_feature_vector(avec, idx_a, afree); 00070 ((CSparseFeatures<float64_t>*) rhs)->free_feature_vector(bvec, idx_b, bfree); 00071 00072 return result; 00073 }