Changeset 8742 for branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveValidationBestSolutionAnalyzer.cs
- Timestamp:
- 10/05/12 11:58:17 (12 years ago)
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branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveValidationBestSolutionAnalyzer.cs
r8458 r8742 22 22 using HeuristicLab.Common; 23 23 using HeuristicLab.Core; 24 using HeuristicLab.Data;25 24 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; 26 25 using HeuristicLab.Parameters; … … 35 34 public sealed class SymbolicTimeSeriesPrognosisSingleObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer<ISymbolicTimeSeriesPrognosisSolution, ISymbolicTimeSeriesPrognosisSingleObjectiveEvaluator, ITimeSeriesPrognosisProblemData>, ISymbolicDataAnalysisBoundedOperator { 36 35 private const string EstimationLimitsParameterName = "EstimationLimits"; 37 private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";38 36 #region parameter properties 39 37 public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter { 40 38 get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; } 41 }42 public IValueParameter<BoolValue> ApplyLinearScalingParameter {43 get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }44 }45 #endregion46 47 #region properties48 public BoolValue ApplyLinearScaling {49 get { return ApplyLinearScalingParameter.Value; }50 39 } 51 40 #endregion … … 57 46 : base() { 58 47 Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic regression model.")); 59 Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic regression solution should be linearly scaled.", new BoolValue(true)));60 48 } 61 49 public override IDeepCloneable Clone(Cloner cloner) { … … 65 53 protected override ISymbolicTimeSeriesPrognosisSolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) { 66 54 var model = new SymbolicTimeSeriesPrognosisModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue as ISymbolicTimeSeriesPrognosisExpressionTreeInterpreter, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper); 67 if (ApplyLinearScaling .Value) SymbolicTimeSeriesPrognosisModel.Scale(model, ProblemDataParameter.ActualValue);55 if (ApplyLinearScalingParameter.ActualValue.Value) SymbolicTimeSeriesPrognosisModel.Scale(model, ProblemDataParameter.ActualValue, ProblemDataParameter.ActualValue.TargetVariable); 68 56 69 57 return new SymbolicTimeSeriesPrognosisSolution(model, (ITimeSeriesPrognosisProblemData)ProblemDataParameter.ActualValue.Clone());
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