[16687] | 1 | using HEAL.Attic;
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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.Parameters;
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| 7 | using System.Collections.Generic;
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| 8 | using System.Linq;
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| 9 |
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| 10 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 11 | [Item("User-defined Multi-objective Evaluator", "A multi-objective evaluator that aggregates the output of its evaluator collection.")]
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| 12 | [StorableType("779F7C15-63E0-4407-A28D-F4DCB1AA8267")]
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| 13 | public class SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator<T> : SymbolicDataAnalysisMultiObjectiveEvaluator<T> where T : class, IDataAnalysisProblemData {
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| 14 | private const string EvaluatorsParameterName = "Evaluators";
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| 15 | private const string MaximizationParameterName = "Maximization";
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| 16 |
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| 17 | public IFixedValueParameter<ItemList<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>> EvaluatorsParameter {
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| 18 | get { return (IFixedValueParameter<ItemList<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>>)Parameters[EvaluatorsParameterName]; }
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| 19 | }
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| 20 |
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| 21 | public ILookupParameter<BoolArray> MaximizationParameter {
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| 22 | get { return (ILookupParameter<BoolArray>)Parameters[MaximizationParameterName]; }
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| 23 | }
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| 24 |
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| 25 | public ItemList<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>> Evaluators {
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| 26 | get { return EvaluatorsParameter.Value; }
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| 27 | }
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| 28 |
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| 29 | public override IEnumerable<bool> Maximization => Evaluators.Select(x => x.Maximization);
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| 30 |
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| 31 | public SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator() {
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| 32 | Parameters.Add(new FixedValueParameter<ItemList<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>>(EvaluatorsParameterName, new ItemList<ISymbolicDataAnalysisSingleObjectiveEvaluator<T>>()));
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| 33 | Parameters.Add(new LookupParameter<BoolArray>(MaximizationParameterName));
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| 34 | }
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| 35 |
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| 36 | public SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator(SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator<T> original, Cloner cloner) : base(original, cloner) { }
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| 37 |
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| 38 | [StorableConstructor]
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| 39 | protected SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator(StorableConstructorFlag deserializing) : base(deserializing) { }
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| 40 |
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| 41 | public override IDeepCloneable Clone(Cloner cloner) {
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| 42 | return new SymbolicDataAnalysisMultiObjectiveUserDefinedEvaluator<T>(this, cloner);
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| 43 | }
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| 44 |
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| 45 | public override double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, T problemData, IEnumerable<int> rows) {
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| 46 | var evaluators = Evaluators;
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| 47 | var qualities = new double[evaluators.Count];
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| 48 | for (int i = 0; i < qualities.Length; ++i) {
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| 49 | qualities[i] = evaluators[i].Evaluate(context, tree, problemData, rows);
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| 50 | }
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| 51 | QualitiesParameter.ActualValue = new DoubleArray(qualities);
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| 52 | return qualities;
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| 53 | }
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| 54 |
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| 55 | public override IOperation InstrumentedApply() {
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| 56 | var solution = SymbolicExpressionTreeParameter.ActualValue;
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| 57 | var problemData = ProblemDataParameter.ActualValue;
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| 58 |
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| 59 | if (MaximizationParameter.ActualValue.Length != Evaluators.Count) {
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| 60 | MaximizationParameter.ActualValue = new BoolArray(Maximization.ToArray());
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| 61 | }
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| 62 |
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| 63 | var qualities = Evaluate(ExecutionContext, solution, problemData, problemData.TrainingIndices);
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| 64 | QualitiesParameter.ActualValue = new DoubleArray(qualities);
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| 65 | return base.InstrumentedApply();
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| 66 | }
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| 67 | }
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| 68 | } |
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