Changeset 5509 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators

Timestamp:

02/17/11 13:22:49 (14 years ago)

Author:

mkommend

Message:

#1418: Made evaluators and problems generic to create the parameters correctly.

Location:

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators

Files:

• SymbolicDataAnalysisEvaluator.cs (modified) (5 diffs)
• SymbolicDataAnalysisMultiObjectiveEvaluator.cs (modified) (2 diffs)
• SymbolicDataAnalysisSingleObjectiveEvaluator.cs (modified) (2 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisEvaluator.cs

@@ -33 +33 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
-  public abstract class SymbolicDataAnalysisEvaluator : SingleSuccessorOperator,
-    ISymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisBoundedEvaluator, ISymbolicDataAnalysisInterpreterOperator {
+  public abstract class SymbolicDataAnalysisEvaluator<T> : SingleSuccessorOperator,
+    ISymbolicDataAnalysisBoundedEvaluator<T>, ISymbolicDataAnalysisInterpreterOperator
+  where T : class, IDataAnalysisProblemData {
     private const string RandomParameterName = "Random";
     private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
@@ -55 +56 @@
       get { return (ILookupParameter<ISymbolicDataAnalysisTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
     }
-    public ILookupParameter<IDataAnalysisProblemData> ProblemDataParameter {
-      get { return (ILookupParameter<IDataAnalysisProblemData>)Parameters[ProblemDataParameterName]; }
+    public ILookupParameter<T> ProblemDataParameter {
+      get { return (ILookupParameter<T>)Parameters[ProblemDataParameterName]; }
     }
 
@@ -79 +80 @@
 
     #region properties
-    public IDataAnalysisProblemData ProblemData {
+    public T ProblemData {
       get { return ProblemDataParameter.ActualValue; }
     }
@@ -102 +103 @@
     [StorableConstructor]
     protected SymbolicDataAnalysisEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicDataAnalysisEvaluator(SymbolicDataAnalysisEvaluator original, Cloner cloner)
+    protected SymbolicDataAnalysisEvaluator(SymbolicDataAnalysisEvaluator<T> original, Cloner cloner)
       : base(original, cloner) {
     }
@@ -108 +109 @@
       : base() {
       Parameters.Add(new LookupParameter<IRandom>(RandomParameterName, "The random generator to use."));
-      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic expression tree."));
-      Parameters.Add(new LookupParameter<SymbolicExpressionTree>(SymbolicExpressionTreeInterpreterParameterName, "The symbolic regression solution encoded as a symbolic expression tree."));
-      Parameters.Add(new LookupParameter<IDataAnalysisProblemData>(ProblemDataParameterName, "The problem data on which the symbolic regression solution should be evaluated."));
-      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The start index of the dataset partition on which the symbolic regression solution should be evaluated."));
-      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The end index of the dataset partition on which the symbolic regression solution should be evaluated."));
-      Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit that should be used as cut off value for the output values of symbolic expression trees."));
-      Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit that should be used as cut off value for the output values of symbolic expression trees."));
+      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic data analysis tree."));
+      Parameters.Add(new LookupParameter<SymbolicExpressionTree>(SymbolicExpressionTreeInterpreterParameterName, "The symbolic data analysis solution encoded as a symbolic expression tree."));
+      Parameters.Add(new LookupParameter<T>(ProblemDataParameterName, "The problem data on which the symbolic data analysis solution should be evaluated."));
+      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The start index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
+      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The end index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
+      Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit that should be used as cut off value for the output values of symbolic data analysis trees."));
+      Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit that should be used as cut off value for the output values of symbolic data analysis trees."));
       Parameters.Add(new ValueParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation between the start and end index.", new PercentValue(1)));
     }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisMultiObjectiveEvaluator.cs

@@ -28 +28 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
-  public abstract class SymbolicDataAnalysisMultiObjectiveEvaluator : SymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
+  public abstract class SymbolicDataAnalysisMultiObjectiveEvaluator<T> : SymbolicDataAnalysisEvaluator<T>, ISymbolicDataAnalysisMultiObjectiveEvaluator<T>
+   where T : class, IDataAnalysisProblemData {
     private const string QualitiesParameterName = "Qualities";
     public ILookupParameter<DoubleArray> QualitiesParameter {
@@ -38 +39 @@
     [StorableConstructor]
     protected SymbolicDataAnalysisMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicDataAnalysisMultiObjectiveEvaluator(SymbolicDataAnalysisMultiObjectiveEvaluator original, Cloner cloner)
+    protected SymbolicDataAnalysisMultiObjectiveEvaluator(SymbolicDataAnalysisMultiObjectiveEvaluator<T> original, Cloner cloner)
       : base(original, cloner) {
     }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisSingleObjectiveEvaluator.cs

@@ -27 +27 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
-  public abstract class SymbolicDataAnalysisSingleObjectiveEvaluator : SymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
+  public abstract class SymbolicDataAnalysisSingleObjectiveEvaluator<T> : SymbolicDataAnalysisEvaluator<T>, ISymbolicDataAnalysisSingleObjectiveEvaluator<T>
+   where T : class, IDataAnalysisProblemData {
     private const string QualityParameterName = "Quality";
     public ILookupParameter<DoubleValue> QualityParameter {
@@ -37 +38 @@
     [StorableConstructor]
     protected SymbolicDataAnalysisSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicDataAnalysisSingleObjectiveEvaluator(SymbolicDataAnalysisSingleObjectiveEvaluator original, Cloner cloner)
+    protected SymbolicDataAnalysisSingleObjectiveEvaluator(SymbolicDataAnalysisSingleObjectiveEvaluator<T> original, Cloner cloner)
       : base(original, cloner) {
     }