source: trunk/yat/classifier/FeatureSelectorRandom.cc @ 680

Last change on this file since 680 was 680, checked in by Jari Häkkinen, 15 years ago

Addresses #153. Introduced yat namespace. Removed alignment namespace. Clean up of code.

  • 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 680 2006-10-11 17:49:03Z 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 yat {
34namespace classifier {
35
36
37  FeatureSelectorRandom::FeatureSelectorRandom(size_t N)
38    : FeatureSelector(N)
39  {
40  }
41
42
43
44  void FeatureSelectorRandom::update(const MatrixLookup& data, 
45                                     const Target& target)
46  {
47    assert(data.columns()==target.size());
48    update(data.rows());
49  }
50
51
52  void FeatureSelectorRandom::update(const MatrixLookupWeighted& data, 
53                                 const Target& target)
54  {
55    assert(data.columns()==target.size());
56    update(data.rows());
57  }
58
59
60  void FeatureSelectorRandom::update(size_t total_N)
61  {
62    features_.resize(0);
63    features_.reserve(total_N);
64    for (size_t i=0; i<total_N; ++i)
65      features_.push_back(i);
66    random::DiscreteUniform rnd;
67    // Peter should use random_sample here, but not included in std
68    std::random_shuffle(features_.begin(), features_.end(), rnd);
69    features_.resize(N_);
70  }
71
72}}} // of namespace classifier, yat, and theplu
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