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