1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Linq;
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4 | using System.Text;
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5 | using SemWeb;
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6 | using HeuristicLab.GP;
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7 | using HeuristicLab.Core;
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8 | using HeuristicLab.GP.StructureIdentification;
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9 | using System.IO;
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10 | using HeuristicLab.Data;
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11 | using SVM;
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12 | using HeuristicLab.DataAnalysis;
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13 |
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14 | namespace CedmaExporter {
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15 | class CedmaExporter {
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16 |
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17 | public static List<string> WriteVariableImpactHeaders(Store store, StreamWriter writer) {
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18 | List<string> inputVarNames = new List<string>();
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19 | Statement template = new Statement();
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20 | template.Predicate = Ontology.HasInputVariable;
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21 | var inputVars = store.Select(template).Select(x => x.Object);
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22 | foreach (Entity inputVar in inputVars) {
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23 | var names = store.SelectObjects(inputVar, Ontology.Name);
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24 | if (names.Count() > 0) {
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25 | var inputVarName = ((Literal)names[0]).Value;
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26 | if (!inputVarNames.Contains(inputVarName)) inputVarNames.Add(inputVarName);
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27 | }
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28 | }
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29 | inputVarNames.Sort();
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30 | foreach (string inputVarName in inputVarNames) {
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31 | writer.Write("EvaluationImpact ("); writer.Write(inputVarName); writer.Write("); ");
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32 | }
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33 | foreach (string inputVarName in inputVarNames) {
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34 | writer.Write("QualityImpact ("); writer.Write(inputVarName); writer.Write("); ");
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35 | }
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36 | writer.WriteLine();
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37 | return inputVarNames;
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38 | }
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39 |
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40 | public static void WriteModel(Entity model, int id, Store store, StreamWriter writer, List<string> inputVariables, ModelExporter exporter) {
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41 | try {
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42 | writer.Write(id); writer.Write("; ");
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43 | string targetVariable = LiteralValue(store.SelectObjects(model, Ontology.TargetVariable)[0]).ToString();
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44 | string algoName = LiteralValue(store.SelectObjects(model, Ontology.Name)[0]).ToString();
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45 | string modelFileName = "model_" + targetVariable + "_" + id.ToString("000");
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46 | writer.Write(modelFileName); writer.Write("; ");
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47 | writer.Write(targetVariable); writer.Write("; ");
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48 | writer.Write(algoName); writer.Write("; ");
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49 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TrainingMeanSquaredError)[0]).ToString()); writer.Write("; ");
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50 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.ValidationMeanSquaredError)[0]).ToString()); writer.Write("; ");
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51 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TestMeanSquaredError)[0]).ToString()); writer.Write("; ");
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52 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TrainingCoefficientOfDetermination)[0]).ToString()); writer.Write("; ");
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53 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.ValidationCoefficientOfDetermination)[0]).ToString()); writer.Write("; ");
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54 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TestCoefficientOfDetermination)[0]).ToString()); writer.Write("; ");
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55 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TrainingMeanAbsolutePercentageError)[0]).ToString()); writer.Write("; ");
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56 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.ValidationMeanAbsolutePercentageError)[0]).ToString()); writer.Write("; ");
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57 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TestMeanAbsolutePercentageError)[0]).ToString()); writer.Write("; ");
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58 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TrainingMeanAbsolutePercentageOfRangeError)[0]).ToString()); writer.Write("; ");
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59 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.ValidationMeanAbsolutePercentageOfRangeError)[0]).ToString()); writer.Write("; ");
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60 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TestMeanAbsolutePercentageOfRangeError)[0]).ToString()); writer.Write("; ");
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61 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TrainingVarianceAccountedFor)[0]).ToString()); writer.Write("; ");
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62 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.ValidationVarianceAccountedFor)[0]).ToString()); writer.Write("; ");
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63 | writer.Write(LiteralValue(store.SelectObjects(model, Ontology.TestVarianceAccountedFor)[0]).ToString()); writer.Write("; ");
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64 | WriteVariableImpacts(writer, store, model, inputVariables);
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65 | var data = PersistenceManager.RestoreFromGZip(Convert.FromBase64String((string)LiteralValue(store.SelectObjects(model, Ontology.SerializedData)[0])));
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66 | exporter.Export(modelFileName, data);
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67 | }
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68 | catch (FormatException ex) {
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69 | // ignore
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70 | }
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71 | finally {
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72 | writer.WriteLine();
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73 | }
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74 | }
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75 |
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76 | private static void WriteVariableImpacts(StreamWriter writer, Store store, Entity model, List<string> inputVariables) {
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77 | var inputVariableEntities = store.SelectObjects(model, Ontology.HasInputVariable);
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78 | Dictionary<string, List<double>> impacts = new Dictionary<string, List<double>>();
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79 | foreach (Entity inputVariableEntity in inputVariableEntities) {
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80 | var variableImpacts = new List<double>();
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81 | var names = store.SelectObjects(inputVariableEntity, Ontology.Name);
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82 | if (names.Count() == 0) throw new FormatException();
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83 | impacts[(string)(LiteralValue(names[0]))] = variableImpacts;
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84 | variableImpacts.Add((double)(LiteralValue(store.SelectObjects(inputVariableEntity, Ontology.EvaluationImpact)[0])));
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85 | variableImpacts.Add((double)(LiteralValue(store.SelectObjects(inputVariableEntity, Ontology.QualityImpact)[0])));
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86 | }
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87 |
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88 | foreach (string varName in inputVariables) {
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89 | if (impacts.ContainsKey(varName)) {
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90 | writer.Write(impacts[varName][0]); writer.Write("; ");
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91 | } else {
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92 | writer.Write(" ; ");
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93 | }
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94 | }
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95 |
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96 | foreach (string varName in inputVariables) {
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97 | if (impacts.ContainsKey(varName)) {
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98 | writer.Write(impacts[varName][1]); writer.Write("; ");
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99 | } else {
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100 | writer.Write(" ; ");
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101 | }
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102 | }
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103 | }
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104 |
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105 | public static void WriteColumnHeaders(StreamWriter writer) {
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106 | writer.Write("Id; Filename; TargetVariable; Algorithm;" +
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107 | "TrainingMSE; ValidationMSE; TestMSE; " +
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108 | "TrainingR2; ValidationR2; TestR2; " +
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109 | "TrainingMAPE; ValidationMAPE; TestMAPE; " +
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110 | "TrainingMAPRE; ValidationMAPRE; TestMAPRE; " +
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111 | "TrainingVAF; ValidationVAF; TestVAF; ");
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112 | }
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113 |
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114 | private static object LiteralValue(Resource resource) {
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115 | return ((Literal)resource).ParseValue();
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116 | }
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117 | }
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118 |
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119 | class ModelExporter {
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120 | private string outputDir;
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121 | private bool debugging;
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122 | private Dataset dataset;
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123 | IFunctionTreeExporter treeExporter;
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124 |
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125 | public ModelExporter(Dataset ds, string outputDir, bool debugging) {
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126 | this.dataset = ds;
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127 | this.outputDir = outputDir;
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128 | this.debugging = debugging;
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129 | treeExporter = new SymbolicExpressionExporter(ds);
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130 | }
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131 |
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132 | public void Export(string modelFileName, IStorable model) {
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133 | if (debugging) return;
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134 | foreach (char c in Path.GetInvalidFileNameChars()) {
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135 | modelFileName = modelFileName.Replace(c, '_');
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136 | }
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137 | if (model is IFunctionTree) {
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138 | using (StreamWriter writer = File.CreateText(Path.Combine(outputDir, modelFileName + ".gp.txt"))) {
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139 | writer.Write(treeExporter.Export((IFunctionTree)model));
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140 | }
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141 | } else if (model is SVMModel) {
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142 | SVMModel svmModel = (SVMModel)model;
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143 | RangeTransform.Write(Path.Combine(outputDir, modelFileName + ".svm.transform.txt"), svmModel.RangeTransform);
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144 | SVM.Model.Write(Path.Combine(outputDir, modelFileName + ".svm.model.txt"), svmModel.Model);
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145 | } else throw new NotSupportedException("This type of model is not supported by the CedmaExporter: " + model);
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146 | }
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147 | }
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148 | }
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