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src
shogun
lib
SGSparseVector.h
Go to the documentation of this file.
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/*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 3 of the License, or
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* (at your option) any later version.
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*
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* Written (W) 2012 Fernando José Iglesias García
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* Written (W) 2010,2012 Soeren Sonnenburg
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* Copyright (C) 2010 Berlin Institute of Technology
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* Copyright (C) 2012 Soeren Sonnenburg
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*/
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#ifndef __SGSPARSEVECTOR_H__
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#define __SGSPARSEVECTOR_H__
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#include <
shogun/lib/config.h
>
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#include <
shogun/lib/DataType.h
>
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#include <
shogun/lib/SGReferencedData.h
>
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#include <map>
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namespace
shogun
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{
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template
<
class
T>
struct
SGSparseVectorEntry
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{
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index_t
feat_index
;
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T
entry
;
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};
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template
<
class
T>
class
SGSparseVector
:
public
SGReferencedData
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{
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public
:
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SGSparseVector
() :
SGReferencedData
()
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{
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init_data
();
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}
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SGSparseVector
(
SGSparseVectorEntry<T>
* feats,
index_t
num_entries,
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bool
ref_counting=
true
) :
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SGReferencedData
(ref_counting),
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num_feat_entries
(num_entries),
features
(feats)
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{
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}
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SGSparseVector
(
index_t
num_entries,
bool
ref_counting=
true
) :
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SGReferencedData
(ref_counting),
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num_feat_entries
(num_entries)
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{
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features
=
SG_MALLOC
(
SGSparseVectorEntry<T>
,
num_feat_entries
);
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}
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SGSparseVector
(
const
SGSparseVector
& orig) :
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SGReferencedData
(orig)
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{
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copy_data
(orig);
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}
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virtual
~SGSparseVector
()
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{
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unref
();
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}
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protected
:
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virtual
void
copy_data
(
const
SGReferencedData
& orig)
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{
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num_feat_entries
= ((
SGSparseVector
*)(&orig))->
num_feat_entries
;
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features
= ((
SGSparseVector
*)(&orig))->
features
;
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}
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virtual
void
init_data
()
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{
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num_feat_entries
= 0;
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features
= NULL;
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}
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virtual
void
free_data
()
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{
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num_feat_entries
= 0;
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SG_FREE
(
features
);
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}
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public
:
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index_t
num_feat_entries
;
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SGSparseVectorEntry<T>
*
features
;
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};
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}
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#endif // __SGSPARSEVECTOR_H__
SHOGUN
Machine Learning Toolbox - Documentation