1 | // $Id: SNRScore.cc 1000 2007-12-23 20:09:15Z jari $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2006 Jari Häkkinen, Markus Ringnér, Peter Johansson |
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5 | Copyright (C) 2007 Peter Johansson |
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6 | |
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7 | This file is part of the yat library, http://trac.thep.lu.se/yat |
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8 | |
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9 | The yat library is free software; you can redistribute it and/or |
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10 | modify it under the terms of the GNU General Public License as |
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11 | published by the Free Software Foundation; either version 2 of the |
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12 | License, or (at your option) any later version. |
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13 | |
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14 | The yat library is distributed in the hope that it will be useful, |
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15 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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16 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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17 | General Public License for more details. |
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18 | |
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19 | You should have received a copy of the GNU General Public License |
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20 | along with this program; if not, write to the Free Software |
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21 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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22 | 02111-1307, USA. |
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23 | */ |
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24 | |
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25 | #include "SNRScore.h" |
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26 | #include "Averager.h" |
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27 | #include "AveragerWeighted.h" |
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28 | #include "yat/classifier/DataLookupWeighted1D.h" |
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29 | #include "yat/classifier/Target.h" |
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30 | #include "yat/utility/vector.h" |
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31 | |
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32 | #include <cassert> |
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33 | |
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34 | namespace theplu { |
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35 | namespace yat { |
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36 | namespace statistics { |
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37 | |
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38 | SNRScore::SNRScore(bool b) |
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39 | : Score(b) |
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40 | { |
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41 | } |
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42 | |
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43 | SNRScore::~SNRScore(void) |
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44 | { |
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45 | } |
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46 | |
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47 | double SNRScore::score(const classifier::Target& target, |
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48 | const utility::vector& value) const |
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49 | { |
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50 | statistics::Averager positive; |
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51 | statistics::Averager negative; |
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52 | for(size_t i=0; i<target.size(); i++){ |
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53 | if (target.binary(i)) |
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54 | positive.add(value(i)); |
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55 | else |
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56 | negative.add(value(i)); |
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57 | } |
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58 | double diff = positive.mean() - negative.mean(); |
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59 | double denom=positive.std()+negative.std(); |
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60 | double snr=diff/denom; |
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61 | if(positive.n()==0 || negative.n()==0) |
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62 | snr=0; |
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63 | if (snr<0 && absolute_) |
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64 | snr=-snr; |
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65 | return snr; |
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66 | } |
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67 | |
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68 | double SNRScore::score(const classifier::Target& target, |
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69 | const classifier::DataLookupWeighted1D& value) const |
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70 | { |
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71 | statistics::AveragerWeighted positive; |
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72 | statistics::AveragerWeighted negative; |
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73 | for(size_t i=0; i<target.size(); i++){ |
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74 | if (target.binary(i)) |
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75 | positive.add(value.data(i),value.weight(i)); |
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76 | else |
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77 | negative.add(value.data(i),value.weight(i)); |
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78 | } |
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79 | double diff = positive.mean() - negative.mean(); |
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80 | double denom=positive.std()+negative.std(); |
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81 | assert(denom); |
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82 | double snr=diff/denom; |
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83 | if(positive.sum_w()==0 || negative.sum_w()==0) |
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84 | snr=0; |
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85 | if (snr<0 && absolute_) |
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86 | snr=-snr; |
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87 | return snr; |
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88 | } |
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89 | |
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90 | |
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91 | |
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92 | double SNRScore::score(const classifier::Target& target, |
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93 | const utility::vector& value, |
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94 | const utility::vector& weight) const |
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95 | { |
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96 | statistics::AveragerWeighted positive; |
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97 | statistics::AveragerWeighted negative; |
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98 | for(size_t i=0; i<target.size(); i++){ |
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99 | if (target.binary(i)) |
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100 | positive.add(value(i),weight(i)); |
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101 | else |
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102 | negative.add(value(i),weight(i)); |
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103 | } |
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104 | double diff = positive.mean() - negative.mean(); |
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105 | double denom=positive.std()+negative.std(); |
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106 | assert(denom); |
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107 | double snr=diff/denom; |
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108 | if(positive.sum_w()==0 || negative.sum_w()==0) |
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109 | snr=0; |
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110 | if (snr<0 && absolute_) |
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111 | snr=-snr; |
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112 | return snr; |
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113 | } |
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114 | |
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115 | }}} // of namespace statistics, yat, and theplu |
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