source: trunk/yat/statistics/SNR.cc @ 781

Last change on this file since 781 was 781, checked in by Peter, 16 years ago

changing name to ROCScore and also added some cassert includes

  • Property svn:eol-style set to native
  • Property svn:keywords set to Id
File size: 3.0 KB
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1// $Id: SNR.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 "SNR.h"
25#include "Averager.h"
26#include "AveragerWeighted.h"
27#include "yat/classifier/DataLookupWeighted1D.h"
28#include "yat/classifier/Target.h"
29#include "yat/utility/vector.h"
30
31#include <cassert>
32
33namespace theplu {
34namespace yat {
35namespace statistics { 
36
37  SNR::SNR(bool b) 
38    : Score(b), score_(0)
39  {
40  }
41
42  double SNR::score(const classifier::Target& target, 
43                    const utility::vector& value)
44  {
45    statistics::Averager positive;
46    statistics::Averager negative;
47    for(size_t i=0; i<target.size(); i++){
48      if (target.binary(i))
49        positive.add(value(i));
50      else
51        negative.add(value(i));
52    }
53    double diff = positive.mean() - negative.mean();
54    double denom=positive.std()+negative.std();
55    score_=diff/denom;
56    if(positive.n()==0 || negative.n()==0) 
57      score_=0;
58    if (score_<0 && absolute_)
59      score_=-score_;   
60    return score_;
61  }
62
63  double SNR::score(const classifier::Target& target, 
64                    const classifier::DataLookupWeighted1D& value)
65  {
66    statistics::AveragerWeighted positive;
67    statistics::AveragerWeighted negative;
68    for(size_t i=0; i<target.size(); i++){
69      if (target.binary(i))
70        positive.add(value.data(i),value.weight(i));
71      else
72        negative.add(value.data(i),value.weight(i));
73    }
74    double diff = positive.mean() - negative.mean();
75    double denom=positive.std()+negative.std();
76    assert(denom);
77    score_=diff/denom;
78    if(positive.sum_w()==0 || negative.sum_w()==0) 
79      score_=0;
80    if (score_<0 && absolute_)
81      score_=-score_;   
82    return score_;
83  }
84
85
86
87  double SNR::score(const classifier::Target& target, 
88                    const utility::vector& value,
89                    const utility::vector& weight)
90  {
91    statistics::AveragerWeighted positive;
92    statistics::AveragerWeighted negative;
93    for(size_t i=0; i<target.size(); i++){
94      if (target.binary(i))
95        positive.add(value(i),weight(i));
96      else
97        negative.add(value(i),weight(i));
98    }
99    double diff = positive.mean() - negative.mean();
100    double denom=positive.std()+negative.std();
101    assert(denom);
102    score_=diff/denom;
103    if(positive.sum_w()==0 || negative.sum_w()==0) 
104      score_=0;
105    if (score_<0 && absolute_)
106      score_=-score_;   
107    return score_;
108  }
109
110}}} // of namespace statistics, yat, and theplu
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