Changeset 3491 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression

Timestamp:

04/22/10 18:41:07 (15 years ago)

Author:

gkronber

Message:

Minor improvements. #938 (Data types and operators for regression problems)

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic

Files:

• ISymbolicRegressionEvaluator.cs (modified) (1 diff)
• SymbolicRegressionEvaluator.cs (modified) (4 diffs)
• SymbolicRegressionMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• SymbolicRegressionProblem.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/ISymbolicRegressionEvaluator.cs

@@ -40 +40 @@
     IValueLookupParameter<IntValue> SamplesStartParameter { get; }
     IValueLookupParameter<IntValue> SamplesEndParameter { get; }
-    ILookupParameter<DoubleValue> NumberOfEvaluatedNodesParameter { get; }
   }
 }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionEvaluator.cs

@@ -46 +46 @@
     private const string SamplesStartParameterName = "SamplesStart";
     private const string SamplesEndParameterName = "SamplesEnd";
-    private const string NumberOfEvaluatedNodexParameterName = "NumberOfEvaluatedNodes";
     #region ISymbolicRegressionEvaluator Members
 
@@ -73 +72 @@
     }
 
-    public ILookupParameter<DoubleValue> NumberOfEvaluatedNodesParameter {
-      get { return (ILookupParameter<DoubleValue>)Parameters[NumberOfEvaluatedNodexParameterName]; }
-    }
     #endregion
     #region properties
@@ -103 +99 @@
       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 LookupParameter<DoubleValue>(NumberOfEvaluatedNodexParameterName, "The number of evaluated nodes so far (for performance measurements.)"));
     }
 
     public override IOperation Apply() {
-      DoubleValue numberOfEvaluatedNodes = NumberOfEvaluatedNodesParameter.ActualValue;
       QualityParameter.ActualValue = new DoubleValue(Evaluate(SymbolicExpressionTreeInterpreter, SymbolicExpressionTree, RegressionProblemData.Dataset,
-        RegressionProblemData.TargetVariable, SamplesStart, SamplesEnd, numberOfEvaluatedNodes));
+        RegressionProblemData.TargetVariable, SamplesStart, SamplesEnd));
       return null;
     }
@@ -117 +111 @@
       Dataset dataset,
       StringValue targetVariable,
-      IntValue samplesStart, IntValue samplesEnd,
-      DoubleValue numberOfEvaluatedNodes);
+      IntValue samplesStart, IntValue samplesEnd);
   }
 }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionMeanSquaredErrorEvaluator.cs

@@ -41 +41 @@
   [StorableClass]
   public class SymbolicRegressionMeanSquaredErrorEvaluator : SymbolicRegressionEvaluator {
-    protected override double Evaluate(ISymbolicExpressionTreeInterpreter interpreter, SymbolicExpressionTree solution, Dataset dataset, StringValue targetVariable, IntValue samplesStart, IntValue samplesEnd, DoubleValue numberOfEvaluatedNodes) {
+    protected override double Evaluate(ISymbolicExpressionTreeInterpreter interpreter, SymbolicExpressionTree solution, Dataset dataset, StringValue targetVariable, IntValue samplesStart, IntValue samplesEnd) {
       double mse = Calculate(interpreter, solution, dataset, targetVariable.Value, samplesStart.Value, samplesEnd.Value);
-      numberOfEvaluatedNodes.Value += solution.Size * (samplesEnd.Value - samplesStart.Value);
       return mse;
     }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs

@@ -73 +73 @@
       get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
     }
-    public ValueParameter<DoubleValue> NumberOfEvaluatedNodesParameter {
-      get { return (ValueParameter<DoubleValue>)Parameters["NumberOfEvaluatedNodes"]; }
-    }
     public ValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
       get { return (ValueParameter<IntValue>)Parameters["MaxFunctionDefiningBranches"]; }
@@ -159 +156 @@
       Parameters.Add(new ValueParameter<IntValue>("MaxFunctionDefiningBranches", "Maximal number of automatically defined functions.", new IntValue(3)));
       Parameters.Add(new ValueParameter<IntValue>("MaxFunctionArguments", "Maximal number of arguments of automatically defined functions.", new IntValue(3)));
-      Parameters.Add(new ValueParameter<DoubleValue>("NumberOfEvaluatedNodes", "The total number of evaluated function tree nodes (for performance measurements.)", new DoubleValue()));
       Parameters.Add(new ValueParameter<ISingleObjectiveSolutionsVisualizer>("Visualizer", "The operator which should be used to visualize symbolic regression solutions.", visualizer));
 
@@ -323 +319 @@
         op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
         op.RegressionProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
-        op.NumberOfEvaluatedNodesParameter.ActualName = NumberOfEvaluatedNodesParameter.Name;
       }
       foreach (SymbolicExpressionTreeCrossover op in Operators.OfType<SymbolicExpressionTreeCrossover>()) {