SGSparseMatrix.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 Fernando José Iglesias García
00008  * Written (W) 2010,2012 Soeren Sonnenburg
00009  * Copyright (C) 2010 Berlin Institute of Technology
00010  * Copyright (C) 2012 Soeren Sonnenburg
00011  */
00012 
00013 #ifndef __SGSPARSEMATRIX_H__
00014 #define __SGSPARSEMATRIX_H__
00015 
00016 #include <shogun/lib/config.h>
00017 #include <shogun/lib/DataType.h>
00018 #include <shogun/lib/SGReferencedData.h>
00019 #include <shogun/lib/SGSparseVector.h>
00020 
00021 namespace shogun
00022 {
00024 template <class T> class SGSparseMatrix : public SGReferencedData
00025 {
00026     public:
00028         SGSparseMatrix() : SGReferencedData()
00029         {
00030             init_data();
00031         }
00032 
00034         SGSparseMatrix(SGSparseVector<T>* vecs, index_t num_feat,
00035                 index_t num_vec, bool ref_counting=true) :
00036             SGReferencedData(ref_counting),
00037             num_vectors(num_vec), num_features(num_feat),
00038             sparse_matrix(vecs)
00039         {
00040         }
00041 
00043         SGSparseMatrix(index_t num_vec, index_t num_feat, bool ref_counting=true) :
00044             SGReferencedData(ref_counting),
00045             num_vectors(num_vec), num_features(num_feat)
00046         {
00047             sparse_matrix=SG_MALLOC(SGSparseVector<T>, num_vectors);
00048             for (int32_t i=0; i<num_vectors; i++)
00049             {
00050                 new (&sparse_matrix[i]) SGSparseVector<T>();
00051                 sparse_matrix[i] = SGSparseVector<T>(num_feat);
00052             }
00053         }
00054 
00056         SGSparseMatrix(const SGSparseMatrix &orig) : SGReferencedData(orig)
00057         {
00058             copy_data(orig);
00059         }
00060 
00062         virtual ~SGSparseMatrix()
00063         {
00064             unref();
00065         }
00066 
00068         inline const SGSparseVector<T>& operator[](index_t index) const
00069         {
00070             return sparse_matrix[index];
00071         }
00072 
00074         inline SGSparseVector<T>& operator[](index_t index)
00075         {
00076             return sparse_matrix[index];
00077         }
00078 
00079 protected:
00080 
00082         virtual void copy_data(const SGReferencedData& orig)
00083         {
00084             sparse_matrix = ((SGSparseMatrix*)(&orig))->sparse_matrix;
00085             num_vectors = ((SGSparseMatrix*)(&orig))->num_vectors;
00086             num_features = ((SGSparseMatrix*)(&orig))->num_features;
00087         }
00088 
00090         virtual void init_data()
00091         {
00092             sparse_matrix = NULL;
00093             num_vectors = 0;
00094             num_features = 0;
00095         }
00096 
00098         virtual void free_data()
00099         {
00100             for (int32_t i=0; i<num_vectors; i++)
00101                 (&sparse_matrix[i])->~SGSparseVector<T>();
00102 
00103             SG_FREE(sparse_matrix);
00104             num_vectors = 0;
00105             num_features = 0;
00106         }
00107 
00108 public:
00109 
00111     index_t num_vectors;
00112 
00114     index_t num_features;
00115 
00117     SGSparseVector<T>* sparse_matrix;
00118 
00119 };
00120 }
00121 #endif // __SGSPARSEMATRIX_H__
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