source: trunk/yat/classifier/FeatureSelectorRandom.cc @ 781

Last change on this file since 781 was 781, checked in by Peter, 15 years ago

changing name to ROCScore and also added some cassert includes

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 1.9 KB
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1// $Id: FeatureSelectorRandom.cc 781 2007-03-05 19:44:03Z peter $
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#include <cassert>
32
33namespace theplu {
34namespace yat {
35namespace classifier {
36
37
38  FeatureSelectorRandom::FeatureSelectorRandom(size_t N)
39    : FeatureSelector(N)
40  {
41  }
42
43
44
45  void FeatureSelectorRandom::update(const MatrixLookup& data, 
46                                     const Target& target)
47  {
48    assert(data.columns()==target.size());
49    update(data.rows());
50  }
51
52
53  void FeatureSelectorRandom::update(const MatrixLookupWeighted& data, 
54                                 const Target& target)
55  {
56    assert(data.columns()==target.size());
57    update(data.rows());
58  }
59
60
61  void FeatureSelectorRandom::update(size_t total_N)
62  {
63    features_.resize(0);
64    features_.reserve(total_N);
65    for (size_t i=0; i<total_N; ++i)
66      features_.push_back(i);
67    random::DiscreteUniform rnd;
68    // Peter should use random_sample here, but not included in std
69    std::random_shuffle(features_.begin(), features_.end(), rnd);
70    features_.resize(N_);
71  }
72
73}}} // of namespace classifier, yat, and theplu
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