Changeset 5722 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveTrainingBestSolutionAnalyzer.cs
- Timestamp:
- 03/16/11 19:29:57 (13 years ago)
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- 1 edited
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branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveTrainingBestSolutionAnalyzer.cs
r5720 r5722 43 43 private const string UpperEstimationLimitParameterName = "UpperEstimationLimit"; 44 44 private const string LowerEstimationLimitParameterName = "LowerEstimationLimit"; 45 private const string ApplyLinearScalingParameterName = "ApplyLinearScaling"; 45 46 #region parameter properties 46 47 public ILookupParameter<IClassificationProblemData> ProblemDataParameter { … … 56 57 public IValueLookupParameter<DoubleValue> LowerEstimationLimitParameter { 57 58 get { return (IValueLookupParameter<DoubleValue>)Parameters[LowerEstimationLimitParameterName]; } 59 } 60 public IValueParameter<BoolValue> ApplyLinearScalingParameter { 61 get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; } 58 62 } 59 63 #endregion … … 71 75 get { return LowerEstimationLimitParameter.ActualValue; } 72 76 } 77 public BoolValue ApplyLinearScaling { 78 get { return ApplyLinearScalingParameter.Value; } 79 } 73 80 #endregion 74 81 … … 82 89 Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit for the estimated values produced by the symbolic classification model.")); 83 90 Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit for the estimated values produced by the symbolic classification model.")); 91 Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic classification solution should be linearly scaled.", new BoolValue(false))); 84 92 } 85 93 public override IDeepCloneable Clone(Cloner cloner) {
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