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

Last change on this file since 675 was 675, checked in by Jari Häkkinen, 15 years ago

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

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date ID
File size: 2.1 KB
Line 
1// $Id$
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 "FeatureSelectorIR.h"
25
26#include "FeatureSelector.h"
27#include "MatrixLookup.h"
28#include "InputRanker.h"
29
30#include <algorithm>
31
32namespace theplu {
33namespace classifier {
34
35
36  FeatureSelectorIR::FeatureSelectorIR(statistics::Score& score, size_t N, 
37                                       size_t first)
38    : FeatureSelector(N, first), score_(score)
39  {
40  }
41
42
43
44  FeatureSelectorIR::FeatureSelectorIR(const FeatureSelectorIR& other)
45    : FeatureSelector(other), score_(other.score_)
46  {
47  }
48
49
50
51  FeatureSelectorIR& FeatureSelectorIR::operator=(const FeatureSelectorIR& other)
52  {
53    FeatureSelector::operator=(other);
54    return *this;
55  }
56
57
58  void FeatureSelectorIR::update(const MatrixLookup& data, const Target& target)
59  {
60    assert(data.columns()==target.size());
61    InputRanker ir = InputRanker(data, target, score_);
62    features_.resize(N_);
63    std::copy(ir.rank().begin()+first_, ir.rank().begin()+first_+N_,
64              features_.begin());
65  }
66
67
68  void FeatureSelectorIR::update(const MatrixLookupWeighted& data, 
69                                 const Target& target)
70  {
71    InputRanker ir = InputRanker(data, target, score_);
72    features_.resize(N_);
73    std::copy(ir.rank().begin()+first_, ir.rank().begin()+first_+N_,
74              features_.begin());
75   
76  }
77
78
79} // end of namespace classifier
80} // end of namespace theplu
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