Changeset 7596 for branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis

Timestamp:

03/12/12 11:21:37 (13 years ago)

Author:

sforsten

Message:

#1776:

• added before deleted code to restore some functionality (training and test partition of a model a stored in the .hl file again)
• project files have been set to release

Location:

branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis/3.4

Files:

• HeuristicLab.Problems.DataAnalysis-3.4.csproj (modified) (1 diff)
• Implementation/Classification/ClassificationEnsembleSolution.cs (modified) (10 diffs)

branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj

@@ -50 +50 @@
     <DebugType>pdbonly</DebugType>
     <Optimize>true</Optimize>
-    <OutputPath>$(SolutionDir)\bin\</OutputPath>
+    <OutputPath>..\..\..\..\trunk\sources\bin\</OutputPath>
     <DefineConstants>TRACE</DefineConstants>
     <ErrorReport>prompt</ErrorReport>

branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleSolution.cs

@@ -52 +52 @@
 
     private IClassificationEnsembleSolutionWeightCalculator weightCalculator;
-
     public IClassificationEnsembleSolutionWeightCalculator WeightCalculator {
       set {
@@ -64 +63 @@
     }
 
+    [Storable]
+    private Dictionary<IClassificationModel, IntRange> trainingPartitions;
+    [Storable]
+    private Dictionary<IClassificationModel, IntRange> testPartitions;
+
     [StorableConstructor]
     private ClassificationEnsembleSolution(bool deserializing)
@@ -73 +77 @@
       foreach (var model in Model.Models) {
         IClassificationProblemData problemData = (IClassificationProblemData)ProblemData.Clone();
+        problemData.TrainingPartition.Start = trainingPartitions[model].Start;
+        problemData.TrainingPartition.End = trainingPartitions[model].End;
+        problemData.TestPartition.Start = testPartitions[model].Start;
+        problemData.TestPartition.End = testPartitions[model].End;
+
         classificationSolutions.Add(model.CreateClassificationSolution(problemData));
       }
@@ -80 +89 @@
     private ClassificationEnsembleSolution(ClassificationEnsembleSolution original, Cloner cloner)
       : base(original, cloner) {
+      trainingPartitions = new Dictionary<IClassificationModel, IntRange>();
+      testPartitions = new Dictionary<IClassificationModel, IntRange>();
+      foreach (var pair in original.trainingPartitions) {
+        trainingPartitions[cloner.Clone(pair.Key)] = cloner.Clone(pair.Value);
+      }
+      foreach (var pair in original.testPartitions) {
+        testPartitions[cloner.Clone(pair.Key)] = cloner.Clone(pair.Value);
+      }
+
+      weightCalculator = cloner.Clone(original.weightCalculator);
       classificationSolutions = cloner.Clone(original.classificationSolutions);
       RegisterClassificationSolutionsEventHandler();
@@ -86 +105 @@
     public ClassificationEnsembleSolution()
       : base(new ClassificationEnsembleModel(), ClassificationEnsembleProblemData.EmptyProblemData) {
+      trainingPartitions = new Dictionary<IClassificationModel, IntRange>();
+      testPartitions = new Dictionary<IClassificationModel, IntRange>();
       classificationSolutions = new CheckedItemCollection<IClassificationSolution>();
-
       weightCalculator = new MajorityVoteWeightCalculator();
 
@@ -101 +121 @@
     public ClassificationEnsembleSolution(IEnumerable<IClassificationModel> models, IClassificationProblemData problemData, IEnumerable<IntRange> trainingPartitions, IEnumerable<IntRange> testPartitions)
       : base(new ClassificationEnsembleModel(Enumerable.Empty<IClassificationModel>()), new ClassificationEnsembleProblemData(problemData)) {
+      this.trainingPartitions = new Dictionary<IClassificationModel, IntRange>();
+      this.testPartitions = new Dictionary<IClassificationModel, IntRange>();
       this.classificationSolutions = new CheckedItemCollection<IClassificationSolution>();
 
@@ -123 +145 @@
       RegisterClassificationSolutionsEventHandler();
       classificationSolutions.AddRange(solutions);
+      weightCalculator = new MajorityVoteWeightCalculator();
     }
 
@@ -195 +218 @@
           solution.ProblemData = problemData;
       }
+      foreach (var trainingPartition in trainingPartitions.Values) {
+        trainingPartition.Start = ProblemData.TrainingPartition.Start;
+        trainingPartition.End = ProblemData.TrainingPartition.End;
+      }
+      foreach (var testPartition in testPartitions.Values) {
+        testPartition.Start = ProblemData.TestPartition.Start;
+        testPartition.End = ProblemData.TestPartition.End;
+      }
+
       base.OnProblemDataChanged();
     }
@@ -225 +257 @@
       if (Model.Models.Contains(solution.Model)) throw new ArgumentException();
       Model.Add(solution.Model);
+      trainingPartitions[solution.Model] = solution.ProblemData.TrainingPartition;
+      testPartitions[solution.Model] = solution.ProblemData.TestPartition;
     }
 
@@ -230 +264 @@
       if (!Model.Models.Contains(solution.Model)) throw new ArgumentException();
       Model.Remove(solution.Model);
+      trainingPartitions.Remove(solution.Model);
+      testPartitions.Remove(solution.Model);
     }
   }