1 | // $Id: FoldChange.cc 675 2006-10-10 12:08:45Z jari $ |
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2 | |
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3 | /* |
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4 | Copyright (C) The authors contributing to this file. |
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5 | |
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6 | This file is part of the yat library, http://lev.thep.lu.se/trac/yat |
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7 | |
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8 | The yat library is free software; you can redistribute it and/or |
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9 | modify it under the terms of the GNU General Public License as |
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10 | published by the Free Software Foundation; either version 2 of the |
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11 | License, or (at your option) any later version. |
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12 | |
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13 | The yat library is distributed in the hope that it will be useful, |
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14 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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16 | General Public License for more details. |
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17 | |
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18 | You should have received a copy of the GNU General Public License |
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19 | along with this program; if not, write to the Free Software |
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20 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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21 | 02111-1307, USA. |
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22 | */ |
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23 | |
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24 | #include "yat/statistics/FoldChange.h" |
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25 | #include "yat/statistics/Score.h" |
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26 | #include "yat/statistics/Averager.h" |
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27 | #include "yat/statistics/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 | |
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31 | namespace theplu { |
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32 | namespace statistics { |
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33 | |
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34 | |
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35 | FoldChange::FoldChange(bool absolute) |
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36 | : Score(absolute) |
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37 | { |
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38 | } |
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39 | |
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40 | |
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41 | |
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42 | FoldChange::FoldChange(const FoldChange& other) |
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43 | : Score(other) |
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44 | { |
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45 | } |
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46 | |
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47 | |
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48 | |
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49 | FoldChange& FoldChange::operator=(const FoldChange& other) |
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50 | { |
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51 | Score::operator=(other); |
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52 | return *this; |
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53 | } |
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54 | |
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55 | double FoldChange::score(const classifier::Target& target, |
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56 | const utility::vector& value) |
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57 | { |
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58 | weighted_=false; |
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59 | Averager pos; |
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60 | Averager neg; |
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61 | |
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62 | for (size_t i=0; i<value.size(); i++) |
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63 | if (target.binary(i)) |
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64 | pos.add(value(i)); |
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65 | else |
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66 | neg.add(value(i)); |
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67 | |
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68 | if (absolute_) |
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69 | return fabs(pos.mean()-neg.mean()); |
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70 | return pos.mean()-neg.mean(); |
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71 | } |
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72 | |
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73 | double FoldChange::score(const classifier::Target& target, |
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74 | const classifier::DataLookupWeighted1D& value) |
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75 | { |
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76 | weighted_=true; |
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77 | AveragerWeighted pos; |
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78 | AveragerWeighted neg; |
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79 | |
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80 | for (size_t i=0; i<value.size(); i++) |
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81 | if (target.binary(i)) |
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82 | pos.add(value.data(i),value.weight(i)); |
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83 | else |
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84 | neg.add(value.data(i),value.weight(i)); |
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85 | |
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86 | if (absolute_) |
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87 | return fabs(pos.mean()-neg.mean()); |
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88 | return pos.mean()-neg.mean(); |
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89 | } |
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90 | |
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91 | |
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92 | double FoldChange::score(const classifier::Target& target, |
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93 | const utility::vector& value, |
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94 | const utility::vector& weight) |
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95 | { |
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96 | weighted_=true; |
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97 | AveragerWeighted pos; |
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98 | AveragerWeighted neg; |
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99 | |
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100 | for (size_t i=0; i<value.size(); i++) |
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101 | if (target.binary(i)) |
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102 | pos.add(value(i),weight(i)); |
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103 | else |
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104 | neg.add(value(i),weight(i)); |
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105 | |
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106 | if (absolute_) |
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107 | return fabs(pos.mean()-neg.mean()); |
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108 | return pos.mean()-neg.mean(); |
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109 | } |
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110 | |
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111 | } // of namespace statistics |
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112 | } // of namespace theplu |
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