Changeset 17687 for branches/1837_Sliding Window GP/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SlidingWindow/SlidingWindowBestRegressionSolutionsCollection.cs

Timestamp:

07/19/20 19:07:40 (4 years ago)

Author:

fbaching

Message:

#1837: merged changes from trunk

• apply changes from Attic release to all SlidingWindow specific code files (replace StorableClass with StorableType)

File:

• branches/1837_Sliding Window GP/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SlidingWindow/SlidingWindowBestRegressionSolutionsCollection.cs (modified) (3 diffs)

branches/1837_Sliding Window GP/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SlidingWindow/SlidingWindowBestRegressionSolutionsCollection.cs

@@ -24 +24 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
   [Item("SlidingWindowBestRegressionSolutionsCollection", "A collection of best sliding window solutions for symbolic regression.")]
+  [StorableType("8F78030E-16F3-42CD-ABE7-0526E4738676")]
   public class SlidingWindowBestRegressionSolutionsCollection : SlidingWindowBestSolutionsCollection {
     public new IRegressionProblemData ProblemData {
@@ -34 +35 @@
     }
     [StorableConstructor]
-    protected SlidingWindowBestRegressionSolutionsCollection(bool deserializing) : base(deserializing) { }
+    protected SlidingWindowBestRegressionSolutionsCollection(StorableConstructorFlag _) : base(_) { }
     [StorableHook(HookType.AfterDeserialization)]
     private void AfterDeserialization() { }
@@ -46 +47 @@
     public override ISymbolicDataAnalysisModel CreateModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
       double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
-      return new SymbolicRegressionModel(tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
+      return new SymbolicRegressionModel(ProblemData.TargetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
     }
     public override ISymbolicDataAnalysisSolution CreateSolution(ISymbolicDataAnalysisModel model, IDataAnalysisProblemData problemData) {