1 | using HeuristicLab.Algorithms.DataAnalysis;
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2 | using HeuristicLab.Common;
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3 | using HeuristicLab.Core;
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4 | using HeuristicLab.Data;
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5 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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6 | using HeuristicLab.Operators;
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7 | using HeuristicLab.Optimization;
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8 | using HeuristicLab.Parameters;
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9 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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10 | using HeuristicLab.Problems.DataAnalysis;
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11 |
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12 | namespace HeuristicLab.Problems.GaussianProcessTuning {
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13 | [StorableClass]
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14 | [Item("Gaussian Process Solution Analyzer", "Analyzer that stores the best Gaussian process tuning solution.")]
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15 | public class BestSolutionAnalyzer : SingleSuccessorOperator, ISymbolicExpressionTreeAnalyzer {
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16 |
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17 | private const string QualityParameterName = "Quality";
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18 | private const string SymbolicExpressionTreeParameterName = "GaussianProcessConfiguration";
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19 | private const string ResultsParameterName = "Results";
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20 | private const string ProblemDataParameterName = "ProblemData";
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21 | private const string InterpreterParameterName = "Interpreter";
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22 | private const string SolutionParameterName = "Solution";
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23 | private const string TreeParameterName = "Covariance function";
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24 |
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25 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
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26 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters[QualityParameterName]; }
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27 | }
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28 | public IScopeTreeLookupParameter<IGaussianProcessSolution> SolutionParameter {
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29 | get { return (IScopeTreeLookupParameter<IGaussianProcessSolution>)Parameters[SolutionParameterName]; }
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30 | }
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31 | public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
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32 | get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
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33 | }
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34 | public ILookupParameter<ResultCollection> ResultParameter {
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35 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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36 | }
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37 | public ILookupParameter<IRegressionProblemData> ProblemDataParameter {
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38 | get { return (ILookupParameter<IRegressionProblemData>)Parameters[ProblemDataParameterName]; }
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39 | }
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40 | public ILookupParameter<Interpreter> InterpreterParameter {
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41 | get { return (ILookupParameter<Interpreter>)Parameters[InterpreterParameterName]; }
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42 | }
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43 |
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44 | [StorableConstructor]
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45 | protected BestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
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46 | protected BestSolutionAnalyzer(BestSolutionAnalyzer original, Cloner cloner)
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47 | : base(original, cloner) {
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48 | }
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49 |
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50 | public BestSolutionAnalyzer() {
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51 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>(QualityParameterName, "The solution quality of the Gaussian process configuration."));
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52 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The Gaussian process configuration to evaluate represented as symbolic expression tree."));
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53 | Parameters.Add(new ScopeTreeLookupParameter<IGaussianProcessSolution>(SolutionParameterName, "The solution of the Gaussian process algorithm."));
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54 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The result collection of the algorithm."));
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55 | Parameters.Add(new LookupParameter<IRegressionProblemData>(ProblemDataParameterName, ""));
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56 | Parameters.Add(new LookupParameter<Interpreter>(InterpreterParameterName, ""));
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57 | }
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58 |
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59 | [StorableHook(HookType.AfterDeserialization)]
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60 | private void AfterDeserialization() {
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61 | }
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62 |
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63 | public override IDeepCloneable Clone(Cloner cloner) {
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64 | return new BestSolutionAnalyzer(this, cloner);
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65 | }
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66 |
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67 | public override IOperation Apply() {
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68 | var trees = SymbolicExpressionTreeParameter.ActualValue;
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69 | var qualities = QualityParameter.ActualValue;
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70 | var solutions = SolutionParameter.ActualValue;
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71 | // find max tree
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72 | double maxQuality = double.PositiveInfinity;
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73 | ISymbolicExpressionTree bestTree = null;
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74 | IGaussianProcessSolution bestSolution = null;
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75 | for (int i = 0; i < qualities.Length; i++) {
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76 | if (qualities[i].Value < maxQuality) {
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77 | maxQuality = qualities[i].Value;
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78 | bestTree = trees[i];
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79 | bestSolution = solutions[i];
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80 | }
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81 | }
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82 | var cloner = new Cloner();
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83 | bestTree = cloner.Clone(bestTree);
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84 |
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85 | var resultCollection = ResultParameter.ActualValue;
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86 | if (!resultCollection.ContainsKey(SolutionParameterName)) {
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87 | resultCollection.Add(new Result(SolutionParameterName, "The Gaussian process algorithm solution", bestSolution));
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88 | resultCollection.Add(new Result(TreeParameterName, "The best covariance function", bestTree));
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89 | } else {
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90 | resultCollection[SolutionParameterName].Value = bestSolution;
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91 | resultCollection[TreeParameterName].Value = bestTree;
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92 | }
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93 |
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94 | return base.Apply();
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95 | }
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96 | public bool EnabledByDefault {
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97 | get { return true; }
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98 | }
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99 | }
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100 | }
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