source: trunk/yat/statistics/tScore.cc @ 1486

Last change on this file since 1486 was 1486, checked in by Jari Häkkinen, 13 years ago

Addresses #436.

  • Property svn:eol-style set to native
  • Property svn:keywords set to Author Date Id Revision
File size: 3.2 KB
Line 
1// $Id: tScore.cc 1486 2008-09-09 21:17:19Z jari $
2
3/*
4  Copyright (C) 2004 Jari Häkkinen, Peter Johansson
5  Copyright (C) 2005 Peter Johansson
6  Copyright (C) 2006 Jari Häkkinen, Peter Johansson, Markus Ringnér
7  Copyright (C) 2007 Jari Häkkinen, Peter Johansson
8  Copyright (C) 2008 Peter Johansson
9
10  This file is part of the yat library, http://dev.thep.lu.se/yat
11
12  The yat library is free software; you can redistribute it and/or
13  modify it under the terms of the GNU General Public License as
14  published by the Free Software Foundation; either version 3 of the
15  License, or (at your option) any later version.
16
17  The yat library is distributed in the hope that it will be useful,
18  but WITHOUT ANY WARRANTY; without even the implied warranty of
19  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
20  General Public License for more details.
21
22  You should have received a copy of the GNU General Public License
23  along with this program; if not, write to the Free Software
24  Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
25  02111-1307, USA.
26*/
27
28#include "tScore.h"
29#include "Averager.h"
30#include "AveragerWeighted.h"
31#include "yat/classifier/DataLookup1D.h"
32#include "yat/classifier/DataLookupWeighted1D.h"
33#include "yat/classifier/Target.h"
34#include "yat/utility/VectorBase.h"
35
36#include <cassert>
37#include <cmath>
38
39namespace theplu {
40namespace yat {
41namespace statistics { 
42
43  tScore::tScore(bool b) 
44    : Score(b)
45  {
46  }
47
48
49  double tScore::score(const classifier::Target& target, 
50                       const utility::VectorBase& value) const
51  {
52    return score(target, value, NULL);
53  }
54
55
56  double tScore::score(const classifier::Target& target, 
57                       const utility::VectorBase& value,
58                       double* dof) const
59  {
60    statistics::Averager positive;
61    statistics::Averager negative;
62    for(size_t i=0; i<target.size(); i++){
63      if (target.binary(i))
64        positive.add(value(i));
65      else
66        negative.add(value(i));
67    }
68    return score(positive, negative, dof);
69  }
70
71
72  double tScore::score(const classifier::Target& target, 
73                       const classifier::DataLookupWeighted1D& value) const
74  {
75    return score(target, value, NULL);
76  }
77
78
79  double tScore::score(const classifier::Target& target, 
80                       const classifier::DataLookupWeighted1D& value,
81                       double* dof) const
82  {
83    statistics::AveragerWeighted positive;
84    statistics::AveragerWeighted negative;
85    for(size_t i=0; i<target.size(); i++){
86      if (target.binary(i))
87        positive.add(value.data(i),value.weight(i));
88      else
89        negative.add(value.data(i),value.weight(i));
90    }
91    return score(positive, negative, dof);
92  }
93
94
95  double tScore::score(const classifier::Target& target, 
96                       const utility::VectorBase& value,
97                       const utility::VectorBase& weight) const
98  {
99    return score(target, value, weight, NULL);
100  }
101
102
103  double tScore::score(const classifier::Target& target, 
104                       const utility::VectorBase& value,
105                       const utility::VectorBase& weight,
106                       double* dof) const
107  {
108    statistics::AveragerWeighted positive;
109    statistics::AveragerWeighted negative;
110    for(size_t i=0; i<target.size(); i++){
111      if (target.binary(i))
112        positive.add(value(i),weight(i));
113      else
114        negative.add(value(i),weight(i));
115    }
116    return score(positive, negative, dof);
117  }
118
119}}} // of namespace statistics, yat, and theplu
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