source: trunk/c++_tools/classifier/FeatureSelectorRandom.cc @ 675

Last change on this file since 675 was 675, checked in by Jari Häkkinen, 17 years ago

References #83. Changing project name to yat. Compilation will fail in this revision.

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  • Property svn:keywords set to Author Date Id Revision
File size: 1.9 KB
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1// $Id: FeatureSelectorRandom.cc 675 2006-10-10 12:08:45Z jari $
2
3/*
4  Copyright (C) The authors contributing to this file.
5
6  This file is part of the yat library, http://lev.thep.lu.se/trac/yat
7
8  The yat library is free software; you can redistribute it and/or
9  modify it under the terms of the GNU General Public License as
10  published by the Free Software Foundation; either version 2 of the
11  License, or (at your option) any later version.
12
13  The yat library is distributed in the hope that it will be useful,
14  but WITHOUT ANY WARRANTY; without even the implied warranty of
15  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16  General Public License for more details.
17
18  You should have received a copy of the GNU General Public License
19  along with this program; if not, write to the Free Software
20  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
21  02111-1307, USA.
22*/
23
24#include "FeatureSelectorRandom.h"
25#include "MatrixLookup.h"
26#include "MatrixLookupWeighted.h"
27#include "Target.h"
28#include "yat/random/random.h"
29
30#include <algorithm>
31
32namespace theplu {
33namespace classifier {
34
35
36  FeatureSelectorRandom::FeatureSelectorRandom(size_t N)
37    : FeatureSelector(N)
38  {
39  }
40
41
42
43  void FeatureSelectorRandom::update(const MatrixLookup& data, 
44                                     const Target& target)
45  {
46    assert(data.columns()==target.size());
47    update(data.rows());
48  }
49
50
51  void FeatureSelectorRandom::update(const MatrixLookupWeighted& data, 
52                                 const Target& target)
53  {
54    assert(data.columns()==target.size());
55    update(data.rows());
56  }
57
58
59  void FeatureSelectorRandom::update(size_t total_N)
60  {
61    features_.resize(0);
62    features_.reserve(total_N);
63    for (size_t i=0; i<total_N; ++i)
64      features_.push_back(i);
65    random::DiscreteUniform rnd;
66    // Peter should use random_sample here, but not included in std
67    std::random_shuffle(features_.begin(), features_.end(), rnd);
68    features_.resize(N_);
69  }
70
71
72} // end of namespace classifier
73} // end of namespace theplu
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