Changeset 10483 for branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression

Timestamp:

02/20/14 14:56:39 (11 years ago)

Author:

gkronber

Message:

#2093: merged trunk changes to prepare for reintegration

Location:

branches/LogResidualEvaluator

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.csproj (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionMeanRelativeErrorEvaluator.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionMeanRelativeErrorEvaluator.cs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningAnalyzer.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningAnalyzer.cs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningOperator.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningOperator.cs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolutionImpactValuesCalculator.cs (modified) (4 diffs)

branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.csproj

@@ -120 +120 @@
     <Compile Include="Plugin.cs" />
     <Compile Include="SingleObjective\ConstantOptimizationAnalyzer.cs" />
+    <Compile Include="SingleObjective\Evaluators\SymbolicRegressionMeanRelativeErrorEvaluator.cs" />
+    <Compile Include="SymbolicRegressionPruningAnalyzer.cs" />
     <Compile Include="SingleObjective\Evaluators\SymbolicRegressionLogResidualEvaluator.cs" />
     <Compile Include="SingleObjective\SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer.cs" />
@@ -144 +146 @@
     <Compile Include="SingleObjective\Evaluators\SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs" />
     <Compile Include="SingleObjective\Evaluators\SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs" />
+    <Compile Include="SymbolicRegressionPruningOperator.cs" />
     <Compile Include="SymbolicRegressionSolution.cs" />
     <Compile Include="SymbolicRegressionSolutionImpactValuesCalculator.cs" />

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/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();
     }
 

branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolutionImpactValuesCalculator.cs

@@ -20 +20 @@
 #endregion
 
+using System;
 using System.Collections.Generic;
 using HeuristicLab.Common;
+using HeuristicLab.Core;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
+  [StorableClass]
+  [Item("SymbolicRegressionSolutionImpactValuesCalculator", "Calculate symbolic expression tree node impact values for regression problems.")]
   public class SymbolicRegressionSolutionImpactValuesCalculator : SymbolicDataAnalysisSolutionImpactValuesCalculator {
+    public SymbolicRegressionSolutionImpactValuesCalculator() { }
+
+    protected SymbolicRegressionSolutionImpactValuesCalculator(SymbolicRegressionSolutionImpactValuesCalculator original, Cloner cloner)
+      : base(original, cloner) { }
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new SymbolicRegressionSolutionImpactValuesCalculator(this, cloner);
+    }
+
+    [StorableConstructor]
+    protected SymbolicRegressionSolutionImpactValuesCalculator(bool deserializing) : base(deserializing) { }
     public override double CalculateReplacementValue(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows) {
       var regressionModel = (ISymbolicRegressionModel)model;
@@ -34 +49 @@
 
     public override double CalculateImpactValue(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows, double originalQuality = double.NaN) {
+      double impactValue, replacementValue;
+      CalculateImpactAndReplacementValues(model, node, problemData, rows, out impactValue, out replacementValue, originalQuality);
+      return impactValue;
+    }
+
+    public override void CalculateImpactAndReplacementValues(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node,
+      IDataAnalysisProblemData problemData, IEnumerable<int> rows, out double impactValue, out double replacementValue,
+      double originalQuality = Double.NaN) {
       var regressionModel = (ISymbolicRegressionModel)model;
       var regressionProblemData = (IRegressionProblemData)problemData;
@@ -47 +70 @@
       }
 
-      var replacementValue = CalculateReplacementValue(regressionModel, node, regressionProblemData, rows);
+      replacementValue = CalculateReplacementValue(regressionModel, node, regressionProblemData, rows);
       var constantNode = new ConstantTreeNode(new Constant()) { Value = replacementValue };
 
@@ -63 +86 @@
       if (errorState != OnlineCalculatorError.None) newQuality = 0.0;
 
-      return originalQuality - newQuality;
+      impactValue = originalQuality - newQuality;
     }
-
   }
 }