1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Text;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.DataAnalysis;
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27 |
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28 | namespace HeuristicLab.Modeling {
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29 | public class Model : IModel {
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30 | #region IModel Members
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31 |
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32 | private Dataset dataset;
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33 | public Dataset Dataset {
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34 | get { return dataset; }
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35 | set { dataset = value; }
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36 | }
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37 |
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38 | private string targetVariable;
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39 | public string TargetVariable {
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40 | get { return targetVariable; }
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41 | set { targetVariable = value; }
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42 | }
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43 |
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44 | private List<string> inputVariables = new List<string>();
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45 | public IEnumerable<string> InputVariables {
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46 | get { return inputVariables; }
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47 | }
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48 |
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49 | public void AddInputVariables(string variableName) {
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50 | if (!inputVariables.Contains(variableName))
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51 | inputVariables.Add(variableName);
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52 | }
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53 |
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54 | private double trainingMSE;
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55 | public double TrainingMeanSquaredError {
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56 | get { return trainingMSE; }
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57 | set { trainingMSE = value; }
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58 | }
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59 |
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60 | private double validationMSE;
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61 | public double ValidationMeanSquaredError {
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62 | get { return validationMSE; }
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63 | set { validationMSE = value; }
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64 | }
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65 |
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66 | private double testMSE;
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67 | public double TestMeanSquaredError {
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68 | get { return testMSE; }
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69 | set { testMSE = value; }
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70 | }
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71 |
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72 | public double TrainingMeanAbsolutePercentageError {
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73 | get;
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74 | set;
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75 | }
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76 |
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77 | public double ValidationMeanAbsolutePercentageError {
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78 | get;
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79 | set;
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80 | }
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81 |
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82 | public double TestMeanAbsolutePercentageError {
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83 | get;
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84 | set;
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85 | }
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86 |
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87 | public double TrainingMeanAbsolutePercentageOfRangeError {
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88 | get;
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89 | set;
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90 | }
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91 |
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92 | public double ValidationMeanAbsolutePercentageOfRangeError {
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93 | get;
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94 | set;
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95 | }
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96 |
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97 | public double TestMeanAbsolutePercentageOfRangeError {
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98 | get;
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99 | set;
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100 | }
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101 |
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102 | public double TrainingCoefficientOfDetermination {
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103 | get;
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104 | set;
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105 | }
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106 |
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107 | public double ValidationCoefficientOfDetermination {
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108 | get;
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109 | set;
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110 | }
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111 |
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112 | public double TestCoefficientOfDetermination {
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113 | get;
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114 | set;
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115 | }
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116 |
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117 | public double TrainingVarianceAccountedFor {
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118 | get;
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119 | set;
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120 | }
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121 |
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122 | public double ValidationVarianceAccountedFor {
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123 | get;
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124 | set;
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125 | }
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126 |
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127 | public double TestVarianceAccountedFor {
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128 | get;
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129 | set;
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130 | }
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131 |
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132 | public double GetVariableQualityImpact(string variableName) {
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133 | if (variableQualityImpacts.ContainsKey(variableName)) return variableQualityImpacts[variableName];
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134 | else throw new ArgumentException("Impact of variable " + variableName + " is not available.");
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135 | }
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136 |
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137 | public double GetVariableEvaluationImpact(string variableName) {
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138 | if (variableEvaluationImpacts.ContainsKey(variableName)) return variableEvaluationImpacts[variableName];
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139 | else throw new ArgumentException("Impact of variable " + variableName + " is not available.");
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140 | }
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141 |
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142 | private IItem data;
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143 | public IItem Data {
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144 | get { return data; }
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145 | set { data = value; }
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146 | }
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147 |
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148 | #endregion
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149 |
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150 | private Dictionary<string, double> variableQualityImpacts = new Dictionary<string, double>();
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151 | public void SetVariableQualityImpact(string variableName, double impact) {
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152 | variableQualityImpacts[variableName] = impact;
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153 | }
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154 |
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155 | public void SetVariableQualityImpact(int variableIndex, double impact) {
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156 | variableQualityImpacts[dataset.GetVariableName(variableIndex)] = impact;
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157 | }
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158 |
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159 | private Dictionary<string, double> variableEvaluationImpacts = new Dictionary<string, double>();
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160 | public void SetVariableEvaluationImpact(string variableName, double impact) {
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161 | variableEvaluationImpacts[variableName] = impact;
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162 | }
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163 |
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164 | public void SetVariableEvaluationImpact(int variableIndex, double impact) {
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165 | variableEvaluationImpacts[dataset.GetVariableName(variableIndex)] = impact;
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166 | }
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167 | }
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168 | }
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