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src
shogun
kernel
SparseKernel.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) 1999-2009 Soeren Sonnenburg
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* Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
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*/
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#ifndef _SPARSEKERNEL_H___
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#define _SPARSEKERNEL_H___
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#include <
shogun/kernel/Kernel.h
>
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#include <
shogun/features/SparseFeatures.h
>
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namespace
shogun
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{
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template
<
class
ST>
class
CSparseKernel
:
public
CKernel
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{
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public
:
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CSparseKernel
(int32_t cachesize) :
CKernel
(cachesize) {}
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CSparseKernel
(
CFeatures
* l,
CFeatures
* r) :
CKernel
(10)
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{
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init
(l, r);
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}
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virtual
bool
init
(
CFeatures
* l,
CFeatures
* r)
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{
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CKernel::init(l,r);
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ASSERT
(l->
get_feature_class
()==
C_SPARSE
);
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ASSERT
(r->
get_feature_class
()==
C_SPARSE
);
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ASSERT
(l->
get_feature_type
()==this->
get_feature_type
());
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ASSERT
(r->
get_feature_type
()==this->
get_feature_type
());
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if
(((
CSparseFeatures<ST>
*)
lhs
)->get_num_features() != ((
CSparseFeatures<ST>
*)
rhs
)->get_num_features())
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{
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SG_ERROR
(
"train or test features #dimension mismatch (l:%d vs. r:%d)\n"
,
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((
CSparseFeatures<ST>
*)
lhs
)->get_num_features(),((
CSparseFeatures<ST>
*)
rhs
)->get_num_features());
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}
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return
true
;
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}
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inline
virtual
EFeatureClass
get_feature_class
() {
return
C_SPARSE
; }
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inline
virtual
EFeatureType
get_feature_type
();
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virtual
const
char
*
get_name
()
const
{
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return
"SparseKernel"
; }
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virtual
EKernelType
get_kernel_type
()=0;
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};
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template
<>
inline
EFeatureType
CSparseKernel<float64_t>::get_feature_type
() {
return
F_DREAL
; }
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template
<>
inline
EFeatureType
CSparseKernel<uint64_t>::get_feature_type
() {
return
F_ULONG
; }
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template
<>
inline
EFeatureType
CSparseKernel<int32_t>::get_feature_type
() {
return
F_INT
; }
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template
<>
inline
EFeatureType
CSparseKernel<uint16_t>::get_feature_type
() {
return
F_WORD
; }
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template
<>
inline
EFeatureType
CSparseKernel<int16_t>::get_feature_type
() {
return
F_SHORT
; }
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template
<>
inline
EFeatureType
CSparseKernel<uint8_t>::get_feature_type
() {
return
F_BYTE
; }
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template
<>
inline
EFeatureType
CSparseKernel<char>::get_feature_type
() {
return
F_CHAR
; }
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}
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#endif
/* _SPARSEKERNEL_H__ */
SHOGUN
Machine Learning Toolbox - Documentation