Changeset 12075 for branches/SymbolicExpressionTreeDiversityAnalyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionPhenotypicDiversityAnalyzer.cs

Timestamp:

02/25/15 17:53:25 (10 years ago)

Author:

bburlacu

Message:

#2326: Adapted code in the diversity analyzers according to the new base class. Improved wiring of similarity calculators and analyzers.

Location:

branches/SymbolicExpressionTreeDiversityAnalyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression

Files:

• . (modified) (1 prop)
• 3.4/SingleObjective/SymbolicRegressionPhenotypicDiversityAnalyzer.cs (modified) (6 diffs)

branches/SymbolicExpressionTreeDiversityAnalyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionPhenotypicDiversityAnalyzer.cs

@@ -20 +20 @@
 #endregion
 
+using System.Collections.Generic;
 using System.Linq;
 using HeuristicLab.Analysis;
@@ -26 +27 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
+using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
@@ -32 +34 @@
   [Item("SymbolicRegressionPhenotypicDiversityAnalyzer", "An analyzer which calculates diversity based on the phenotypic distance between trees")]
   [StorableClass]
-  public class SymbolicRegressionPhenotypicDiversityAnalyzer : SingleObjectivePopulationDiversityAnalyzer {
+  public class SymbolicRegressionPhenotypicDiversityAnalyzer : PopulationSimilarityAnalyzer {
     #region parameter names
     private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
@@ -59 +61 @@
     #endregion
 
-    public SymbolicRegressionPhenotypicDiversityAnalyzer() {
-      SimilarityCalculator = new SymbolicExpressionTreePhenotypicSimilarityCalculator { SolutionVariableName = "SymbolicExpressionTree", QualityVariableName = "Quality" };
+    public SymbolicRegressionPhenotypicDiversityAnalyzer(IEnumerable<ISingleObjectiveSolutionSimilarityCalculator> validSimilarityCalculators)
+      : base(validSimilarityCalculators) {
       #region add parameters
       Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The symbolic expression trees."));
@@ -68 +70 @@
       Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The upper and lower limit that should be used as cut off value for the output values of symbolic data analysis trees."));
       #endregion
+
+      UpdateCounterParameter.ActualName = "PhenotypicDiversityAnalyzerUpdateCounter";
     }
 
@@ -84 +88 @@
 
     public override IOperation Apply() {
-      var trees = SymbolicExpressionTreeParameter.ActualValue;
-      var interpreter = SymbolicDataAnalysisTreeInterpreterParameter.ActualValue;
-      var ds = ProblemDataParameter.ActualValue.Dataset;
-      var rows = ProblemDataParameter.ActualValue.TrainingIndices;
+      int updateInterval = UpdateIntervalParameter.Value.Value;
+      IntValue updateCounter = UpdateCounterParameter.ActualValue;
 
-      var evaluatedValues = new ItemArray<DoubleArray>(trees.Select(t => new DoubleArray(interpreter.GetSymbolicExpressionTreeValues(t, ds, rows).ToArray())));
-      EvaluatedValuesParameter.ActualValue = evaluatedValues;
+      if (updateCounter == null) {
+        updateCounter = new IntValue(updateInterval);
+        UpdateCounterParameter.ActualValue = updateCounter;
+      }
 
+      if (updateCounter.Value == updateInterval) {
+        var trees = SymbolicExpressionTreeParameter.ActualValue;
+        var interpreter = SymbolicDataAnalysisTreeInterpreterParameter.ActualValue;
+        var ds = ProblemDataParameter.ActualValue.Dataset;
+        var rows = ProblemDataParameter.ActualValue.TrainingIndices;
+
+        var evaluatedValues = new ItemArray<DoubleArray>(trees.Select(t => new DoubleArray(interpreter.GetSymbolicExpressionTreeValues(t, ds, rows).ToArray())));
+        EvaluatedValuesParameter.ActualValue = evaluatedValues;
+      }
       return base.Apply();
     }