1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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.Collections.Generic;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 |
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30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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31 | [Item("Penalty Score Evaluator", "Calculates the penalty score of a symbolic classification solution.")]
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32 | [StorableClass]
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33 | public class SymbolicClassificationSingleObjectivePenaltyScoreEvaluator : SymbolicClassificationSingleObjectiveEvaluator, ISymbolicClassificationModelCreatorOperator {
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34 | private const string ModelCreatorParameterName = "ModelCreator";
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35 | public override bool Maximization { get { return false; } }
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36 |
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37 | public IValueLookupParameter<ISymbolicClassificationModelCreator> ModelCreatorParameter {
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38 | get { return (IValueLookupParameter<ISymbolicClassificationModelCreator>)Parameters[ModelCreatorParameterName]; }
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39 | }
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40 | ILookupParameter<ISymbolicClassificationModelCreator> ISymbolicClassificationModelCreatorOperator.ModelCreatorParameter {
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41 | get { return ModelCreatorParameter; }
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42 | }
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43 |
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44 | [StorableConstructor]
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45 | protected SymbolicClassificationSingleObjectivePenaltyScoreEvaluator(bool deserializing) : base(deserializing) { }
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46 | protected SymbolicClassificationSingleObjectivePenaltyScoreEvaluator(SymbolicClassificationSingleObjectivePenaltyScoreEvaluator original, Cloner cloner) : base(original, cloner) { }
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47 | public SymbolicClassificationSingleObjectivePenaltyScoreEvaluator()
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48 | : base() {
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49 | Parameters.Add(new ValueLookupParameter<ISymbolicClassificationModelCreator>(ModelCreatorParameterName, ""));
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50 | }
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51 |
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52 | public override IDeepCloneable Clone(Cloner cloner) {
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53 | return new SymbolicClassificationSingleObjectivePenaltyScoreEvaluator(this, cloner);
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54 | }
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55 |
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56 | [StorableHook(HookType.AfterDeserialization)]
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57 | private void AfterDeserialization() {
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58 | if (!Parameters.ContainsKey(ModelCreatorParameterName))
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59 | Parameters.Add(new ValueLookupParameter<ISymbolicClassificationModelCreator>(ModelCreatorParameterName, ""));
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60 | }
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61 |
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62 |
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63 | public override IOperation Apply() {
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64 | double quality = Evaluate(ExecutionContext, SymbolicExpressionTreeParameter.ActualValue, ProblemDataParameter.ActualValue, GenerateRowsToEvaluate());
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65 | QualityParameter.ActualValue = new DoubleValue(quality);
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66 | return base.Apply();
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67 | }
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68 |
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69 | public static double Calculate(IClassificationModel model, IClassificationProblemData problemData, IEnumerable<int> rows) {
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70 | var estimations = model.GetEstimatedClassValues(problemData.Dataset, rows).GetEnumerator();
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71 | if (!estimations.MoveNext()) return double.NaN;
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72 |
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73 | var penalty = 0.0;
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74 | var count = 0;
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75 | foreach (var r in rows) {
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76 | var actualClass = problemData.Dataset.GetDoubleValue(problemData.TargetVariable, r);
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77 | penalty += problemData.GetClassificationPenalty(actualClass, estimations.Current);
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78 | estimations.MoveNext();
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79 | count++;
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80 | }
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81 | return penalty / count;
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82 | }
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83 |
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84 | public override double Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IClassificationProblemData problemData, IEnumerable<int> rows) {
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85 | SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = context;
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86 | EstimationLimitsParameter.ExecutionContext = context;
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87 | ModelCreatorParameter.ExecutionContext = context;
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88 |
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89 | var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(tree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
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90 | model.RecalculateModelParameters(problemData, rows);
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91 | double penalty = Calculate(model, problemData, rows);
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92 |
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93 | SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = null;
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94 | EstimationLimitsParameter.ExecutionContext = null;
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95 | ModelCreatorParameter.ExecutionContext = null;
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96 |
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97 | return penalty;
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98 | }
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99 | }
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100 | }
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