Changeset 8206 for branches/GP-MoveOperators/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs
- Timestamp:
- 07/03/12 16:46:35 (12 years ago)
- Location:
- branches/GP-MoveOperators
- Files:
-
- 2 edited
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- Removed
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branches/GP-MoveOperators
- Property svn:mergeinfo changed
/trunk/sources merged: 8084,8088-8090,8092-8100,8102-8113,8115,8117-8132,8134-8146,8148-8156,8158-8160,8163-8170,8173-8176,8178-8190,8192-8205
- Property svn:mergeinfo changed
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branches/GP-MoveOperators/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs
r7734 r8206 33 33 [Item("SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that collects the training Pareto-best symbolic classification solutions for single objective symbolic classification problems.")] 34 34 [StorableClass] 35 public sealed class SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<ISymbolicClassificationSolution>, 36 ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator { 37 private const string ProblemDataParameterName = "ProblemData"; 38 private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter"; 39 private const string EstimationLimitsParameterName = "EstimationLimits"; 35 public sealed class SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<IClassificationProblemData, ISymbolicClassificationSolution> { 40 36 private const string ApplyLinearScalingParameterName = "ApplyLinearScaling"; 41 37 #region parameter properties 42 public ILookupParameter<IClassificationProblemData> ProblemDataParameter {43 get { return (ILookupParameter<IClassificationProblemData>)Parameters[ProblemDataParameterName]; }44 }45 public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {46 get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }47 }48 public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {49 get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }50 }51 38 public IValueParameter<BoolValue> ApplyLinearScalingParameter { 52 39 get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; } … … 65 52 public SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer() 66 53 : base() { 67 Parameters.Add(new LookupParameter<IClassificationProblemData>(ProblemDataParameterName, "The problem data for the symbolic classification solution."));68 Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));69 Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic classification model."));70 54 Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic classification solution should be linearly scaled.", new BoolValue(false))); 71 55 }
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