[17479] | 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.Optimization;
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| 7 | using HeuristicLab.Parameters;
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| 8 | using HeuristicLab.Problems.DataAnalysis;
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| 9 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 10 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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| 11 | using System;
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| 12 | using System.Collections.Generic;
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| 13 | using System.Linq;
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| 14 | using System.Text;
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| 15 | using System.Threading.Tasks;
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| 16 |
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| 17 | namespace HeuristicLab.Algorithms.OESRALPS.Analyzers.Regression
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| 18 | {
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| 19 | [Item("SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer", "An operator that analyzes the training best symbolic regression solution for single objective symbolic regression problems.")]
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| 20 | [StorableType("85786F8E-A81D-4909-9A66-620669A0C7FB")]
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| 21 | public sealed class SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer
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| 22 | : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData>,
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| 23 | ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator
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| 24 | {
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| 25 | private const string ProblemDataParameterName = "ProblemData";
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| 26 | private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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| 27 | private const string EstimationLimitsParameterName = "EstimationLimits";
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| 28 |
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| 29 | #region parameter properties
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| 30 | public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
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| 31 | get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
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| 32 | }
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| 33 | #endregion
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| 34 |
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| 35 | [StorableConstructor]
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| 36 | private SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer(StorableConstructorFlag _) : base(_) { }
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| 37 | private SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer(SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 38 | public SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer()
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| 39 | : base()
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| 40 | {
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| 41 | Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic regression model."));
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| 42 | }
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| 43 | public override IDeepCloneable Clone(Cloner cloner)
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| 44 | {
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| 45 | return new SymbolicRegressionSingleObjectiveTrainingBestSolutionSlidingWindowAnalyzer(this, cloner);
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| 46 | }
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| 47 |
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| 48 | protected override ISymbolicRegressionSolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality)
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| 49 | {
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| 50 | var model = new SymbolicRegressionModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
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| 51 | if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
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| 52 | return new SymbolicRegressionSolution(model, (IRegressionProblemData)ProblemDataParameter.ActualValue.Clone());
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| 53 | }
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| 54 | }
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| 55 | }
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