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src
shogun
preprocessor
SortWordString.cpp
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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#include <
shogun/preprocessor/SortWordString.h
>
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#include <
shogun/features/Features.h
>
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#include <
shogun/features/StringFeatures.h
>
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#include <
shogun/mathematics/Math.h
>
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using namespace
shogun;
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CSortWordString::CSortWordString
()
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:
CStringPreprocessor
<uint16_t>()
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{
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}
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CSortWordString::~CSortWordString
()
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{
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}
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bool
CSortWordString::init(
CFeatures
* f)
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{
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ASSERT
(f->
get_feature_class
()==
C_STRING
);
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ASSERT
(f->
get_feature_type
()==
F_WORD
);
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return
true
;
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}
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void
CSortWordString::cleanup
()
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{
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}
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bool
CSortWordString::load
(FILE* f)
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{
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SG_SET_LOCALE_C
;
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SG_RESET_LOCALE
;
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return
false
;
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}
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bool
CSortWordString::save
(FILE* f)
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{
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SG_SET_LOCALE_C
;
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SG_RESET_LOCALE
;
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return
false
;
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}
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bool
CSortWordString::apply_to_string_features
(
CFeatures
* f)
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{
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int32_t i;
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int32_t num_vec=((
CStringFeatures<uint16_t>
*)f)->get_num_vectors() ;
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for
(i=0; i<num_vec; i++)
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{
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int32_t len = 0 ;
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bool
free_vec;
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uint16_t* vec = ((
CStringFeatures<uint16_t>
*)f)->get_feature_vector(i, len, free_vec);
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ASSERT
(!free_vec);
// won't work with non-in-memory string features
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//CMath::qsort(vec, len);
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CMath::radix_sort
(vec, len);
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}
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return
true ;
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}
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uint16_t*
CSortWordString::apply_to_string
(uint16_t* f, int32_t& len)
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{
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uint16_t* vec=
SG_MALLOC
(uint16_t, len);
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int32_t i=0;
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for
(i=0; i<len; i++)
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vec[i]=f[i];
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//CMath::qsort(vec, len);
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CMath::radix_sort
(vec, len);
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return
vec;
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}
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Machine Learning Toolbox - Documentation