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.Linq;
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25 | using System.Text;
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26 | using HeuristicLab.Core;
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27 | using System.Collections;
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28 | using HeuristicLab.CEDMA.DB.Interfaces;
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29 | using System.Xml;
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30 | using System.Runtime.Serialization;
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31 | using System.IO;
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32 | using HeuristicLab.Operators;
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33 |
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34 | namespace HeuristicLab.CEDMA.Core {
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35 | public class ResultList : ItemBase {
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36 | private const string cedmaNS = "http://www.heuristiclab.com/cedma/";
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37 |
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38 | private const string MAPE_TRAINING = "MAPE (training)";
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39 | private const string MAPE_VALIDATION = "MAPE (validation)";
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40 | private const string MAPE_TEST = "MAPE (test)";
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41 | private const string R2_TRAINING = "R2 (training)";
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42 | private const string R2_VALIDATION = "R2 (validation)";
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43 | private const string R2_TEST = "R2 (test)";
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44 | private const string TARGET_VARIABLE = "Target variable";
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45 | private const string TREE_SIZE = "Tree size";
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46 | private const string TREE_HEIGHT = "Tree height";
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47 |
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48 | private readonly Entity targetVariablePredicate = new Entity(cedmaNS + "TargetVariable");
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49 | private readonly Entity trainingMAPEPredicate = new Entity(cedmaNS + "MeanAbsolutePercentageErrorTraining");
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50 | private readonly Entity validationMAPEPredicate = new Entity(cedmaNS + "MeanAbsolutePercentageErrorValidation");
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51 | private readonly Entity testMAPEPredicate = new Entity(cedmaNS + "MeanAbsolutePercentageErrorTest");
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52 | private readonly Entity trainingR2Predicate = new Entity(cedmaNS + "CoefficientOfDeterminationTraining");
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53 | private readonly Entity validationR2Predicate = new Entity(cedmaNS + "CoefficientOfDeterminationValidation");
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54 | private readonly Entity testR2Predicate = new Entity(cedmaNS + "CoefficientOfDeterminationTest");
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55 | private readonly Entity treeSizePredicate = new Entity(cedmaNS + "TreeSize");
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56 | private readonly Entity treeHeightPredicate = new Entity(cedmaNS + "TreeHeight");
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57 | private readonly Entity anyEntity = new Entity(null);
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58 |
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59 | private IStore store;
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60 | public IStore Store {
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61 | get { return store; }
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62 | set {
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63 | store = value;
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64 | ReloadList();
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65 | FireChanged();
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66 | }
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67 | }
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68 | private List<string> variableNames = new List<string>() { TARGET_VARIABLE, TREE_SIZE, TREE_HEIGHT,
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69 | MAPE_TRAINING, MAPE_VALIDATION, MAPE_TEST,
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70 | R2_TRAINING, R2_VALIDATION, R2_TEST};
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71 | public string[] VariableNames {
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72 | get {
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73 | return variableNames.ToArray();
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74 | }
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75 | }
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76 | private Dictionary<string, List<double>> allVariables;
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77 |
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78 | private void ReloadList() {
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79 | allVariables.Clear();
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80 | List<double> trainingMAPE = new List<double>();
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81 | List<double> validationMAPE = new List<double>();
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82 | List<double> testMAPE = new List<double>();
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83 | List<double> trainingR2 = new List<double>();
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84 | List<double> validationR2 = new List<double>();
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85 | List<double> testR2 = new List<double>();
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86 | List<double> size = new List<double>();
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87 | List<double> height = new List<double>();
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88 | List<double> targetVariable = new List<double>();
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89 | allVariables[MAPE_TRAINING] = trainingMAPE;
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90 | allVariables[MAPE_VALIDATION] = validationMAPE;
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91 | allVariables[MAPE_TEST] = testMAPE;
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92 | allVariables[R2_TRAINING] = trainingR2;
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93 | allVariables[R2_VALIDATION] = validationR2;
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94 | allVariables[R2_TEST] = testR2;
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95 | allVariables[TREE_SIZE] = size;
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96 | allVariables[TREE_HEIGHT] = height;
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97 | allVariables[TARGET_VARIABLE] = targetVariable;
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98 |
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99 | var results = store.Select(new Statement(anyEntity, new Entity(cedmaNS + "instanceOf"), new Literal("class:GpFunctionTree")))
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100 | .Select(x => store.Select(new SelectFilter(
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101 | new Entity[] { new Entity(x.Subject.Uri) },
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102 | new Entity[] { targetVariablePredicate, treeSizePredicate, treeHeightPredicate,
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103 | trainingMAPEPredicate, validationMAPEPredicate, testMAPEPredicate,
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104 | trainingR2Predicate, validationR2Predicate, testR2Predicate },
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105 | new Resource[] { anyEntity })));
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106 |
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107 | Random random = new Random(); // for adding random noise to int values
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108 | foreach(Statement[] ss in results) {
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109 | targetVariable.Add(double.NaN);
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110 | size.Add(double.NaN);
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111 | height.Add(double.NaN);
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112 | trainingMAPE.Add(double.NaN);
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113 | validationMAPE.Add(double.NaN);
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114 | testMAPE.Add(double.NaN);
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115 | trainingR2.Add(double.NaN);
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116 | validationR2.Add(double.NaN);
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117 | testR2.Add(double.NaN);
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118 | foreach(Statement s in ss) {
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119 | if(s.Predicate.Equals(targetVariablePredicate)) {
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120 | ReplaceLastItem(targetVariable, (double)(int)((Literal)s.Property).Value);
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121 | } else if(s.Predicate.Equals(treeSizePredicate)) {
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122 | ReplaceLastItem(size, (double)(int)((Literal)s.Property).Value);
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123 | } else if(s.Predicate.Equals(treeHeightPredicate)) {
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124 | ReplaceLastItem(height, (double)(int)((Literal)s.Property).Value);
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125 | } else if(s.Predicate.Equals(trainingMAPEPredicate)) {
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126 | ReplaceLastItem(trainingMAPE, (double)((Literal)s.Property).Value);
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127 | } else if(s.Predicate.Equals(validationMAPEPredicate)) {
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128 | ReplaceLastItem(validationMAPE, (double)((Literal)s.Property).Value);
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129 | } else if(s.Predicate.Equals(testMAPEPredicate)) {
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130 | ReplaceLastItem(testMAPE, (double)((Literal)s.Property).Value);
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131 | } else if(s.Predicate.Equals(trainingR2Predicate)) {
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132 | ReplaceLastItem(trainingR2, (double)((Literal)s.Property).Value);
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133 | } else if(s.Predicate.Equals(validationR2Predicate)) {
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134 | ReplaceLastItem(validationR2, (double)((Literal)s.Property).Value);
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135 | } else if(s.Predicate.Equals(testR2Predicate)) {
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136 | ReplaceLastItem(testR2, (double)((Literal)s.Property).Value);
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137 | }
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138 | }
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139 | }
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140 | }
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141 |
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142 | private void ReplaceLastItem(List<double> xs, double x) {
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143 | xs.RemoveAt(xs.Count - 1); xs.Add(x);
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144 | }
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145 |
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146 | public ResultList()
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147 | : base() {
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148 | allVariables = new Dictionary<string, List<double>>();
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149 | }
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150 |
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151 | public override IView CreateView() {
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152 | return new ResultListView(this);
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153 | }
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154 |
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155 | internal Histogram GetHistogram(string variableName) {
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156 | Histogram h = new Histogram(50);
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157 | h.AddValues(allVariables[variableName]);
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158 | return h;
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159 | }
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160 |
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161 | internal IList<double> GetValues(string variableName) {
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162 | return allVariables[variableName];
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163 | }
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164 | }
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165 | }
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