Changeset 10291 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression

Timestamp:

01/07/14 11:14:18 (11 years ago)

Author:

mkommend

Message:

#2119: Added interface for instrumented operators and adapted problem and encoding specific operators to provide instrumentation capabilities.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4

Files:

• MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs (modified) (1 diff)
• MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (1 diff)
• SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs

@@ -44 +44 @@
     public override IEnumerable<bool> Maximization { get { return new bool[2] { false, false }; } }
 
-    public override Core.IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       IEnumerable<int> rows = GenerateRowsToEvaluate();
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value);
       QualitiesParameter.ActualValue = new DoubleArray(qualities);
-      return base.Apply();
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs

@@ -44 +44 @@
     public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       IEnumerable<int> rows = GenerateRowsToEvaluate();
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value);
       QualitiesParameter.ActualValue = new DoubleArray(qualities);
-      return base.Apply();
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs

@@ -102 +102 @@
     }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       double quality;
@@ -121 +121 @@
       QualityParameter.ActualValue = new DoubleValue(quality);
 
-      if (Successor != null)
-        return ExecutionContext.CreateOperation(Successor);
-      else
-        return null;
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs

@@ -42 +42 @@
     public SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator() : base() { }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       IEnumerable<int> rows = GenerateRowsToEvaluate();
@@ -49 +49 @@
       QualityParameter.ActualValue = new DoubleValue(quality);
 
-      return base.Apply();
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs

@@ -42 +42 @@
     public SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator() : base() { }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       IEnumerable<int> rows = GenerateRowsToEvaluate();
@@ -49 +49 @@
       QualityParameter.ActualValue = new DoubleValue(quality);
 
-      return base.Apply();
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs

@@ -42 +42 @@
     public SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator() : base() { }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       IEnumerable<int> rows = GenerateRowsToEvaluate();
@@ -49 +49 @@
       QualityParameter.ActualValue = new DoubleValue(quality);
 
-      return base.Apply();
+      return base.InstrumentedApply();
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs

@@ -44 +44 @@
     public override bool Maximization { get { return true; } }
 
-    public override IOperation Apply() {
+    public override IOperation InstrumentedApply() {
       var solution = SymbolicExpressionTreeParameter.ActualValue;
       IEnumerable<int> rows = GenerateRowsToEvaluate();
@@ -51 +51 @@
       QualityParameter.ActualValue = new DoubleValue(quality);
 
-      return base.Apply();
+      return base.InstrumentedApply();
     }