Changeset 5501

Timestamp:

02/17/11 01:19:27 (14 years ago)

Author:

mkommend

Message:

#1418: Corrected namespaces and added symbolic classification specific evaluators.

Location:

branches/DataAnalysis Refactoring

Files:

• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification-3.4.csproj (modified) (4 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces (added)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionEvaluator.cs) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationMultiObjectiveEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionMultiObjectiveEvaluator.cs) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationSingleObjectiveEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionSingleObjectiveEvaluator.cs) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/Evaluators/SymbolicRegressionMultiObjectiveEvaluator.cs) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective (added)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveEvaluator.cs) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs (copied) (copied from branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/Evaluators/SymbolicRegressionMultiObjectiveEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationModel.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblem.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblemData.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolution.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolutionCreator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionSolution.cs (modified) (1 diff)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification-3.4.csproj ¶

@@ -108 +108 @@
   </ItemGroup>
   <ItemGroup>
+    <Compile Include="MultiObjective\SymbolicClassificationMultiObjectiveEvaluator.cs" />
+    <Compile Include="SingleObjective\SymbolicClassificationSingleObjectiveEvaluator.cs" />
+    <Compile Include="SingleObjective\SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs" />
+    <Compile Include="SingleObjective\SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs" />
     <None Include="HeuristicLab.snk" />
     <None Include="HeuristicLabProblemsDataAnalysisSymbolicClassificationPlugin.cs.frame" />
     <None Include="Properties\AssemblyInfo.frame" />
     <Compile Include="HeuristicLabProblemsDataAnalysisSymbolicClassificationPlugin.cs" />
+    <Compile Include="Interfaces\ISymbolicClassificationEvaluator.cs" />
+    <Compile Include="Interfaces\ISymbolicClassificationMultiObjectiveEvaluator.cs" />
+    <Compile Include="Interfaces\ISymbolicClassificationSingleObjectiveEvaluator.cs" />
     <Compile Include="Properties\AssemblyInfo.cs" />
   </ItemGroup>
@@ -139 +146 @@
       <Name>HeuristicLab.Data-3.3</Name>
     </ProjectReference>
-    <ProjectReference Include="..\..\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding\3.3\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.3.csproj">
-      <Project>{125D3006-67F5-48CB-913E-73C0548F17FA}</Project>
-      <Name>HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.3</Name>
+    <ProjectReference Include="..\..\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding\3.4\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4.csproj">
+      <Project>{06D4A186-9319-48A0-BADE-A2058D462EEA}</Project>
+      <Name>HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4</Name>
     </ProjectReference>
     <ProjectReference Include="..\..\HeuristicLab.ExtLibs\HeuristicLab.ALGLIB\3.1.0\ALGLIB-3.1.0\ALGLIB-3.1.0.csproj">
@@ -183 +190 @@
       <Name>HeuristicLab.PluginInfrastructure-3.3</Name>
     </ProjectReference>
-    <ProjectReference Include="..\..\HeuristicLab.Problems.DataAnalysis\3.3\HeuristicLab.Problems.DataAnalysis-3.3.csproj">
-      <Project>{70DFD984-B1D9-46FE-8EB7-4DE92D71A9FC}</Project>
-      <Name>HeuristicLab.Problems.DataAnalysis-3.3</Name>
+    <ProjectReference Include="..\..\HeuristicLab.Problems.DataAnalysis.Symbolic\3.4\HeuristicLab.Problems.DataAnalysis.Symbolic-3.4.csproj">
+      <Project>{3D28463F-EC96-4D82-AFEE-38BE91A0CA00}</Project>
+      <Name>HeuristicLab.Problems.DataAnalysis.Symbolic-3.4</Name>
+    </ProjectReference>
+    <ProjectReference Include="..\..\HeuristicLab.Problems.DataAnalysis\3.4\HeuristicLab.Problems.DataAnalysis-3.4.csproj">
+      <Project>{DF87C13E-A889-46FF-8153-66DCAA8C5674}</Project>
+      <Name>HeuristicLab.Problems.DataAnalysis-3.4</Name>
     </ProjectReference>
     <ProjectReference Include="..\..\HeuristicLab.Random\3.3\HeuristicLab.Random-3.3.csproj">
@@ -209 +220 @@
     </BootstrapperPackage>
   </ItemGroup>
-  <ItemGroup>
-    <Folder Include="MultiObjective\" />
-    <Folder Include="SingleObjective\Interfaces\" />
-  </ItemGroup>
+  <ItemGroup />
   <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
   <!-- To modify your build process, add your task inside one of the targets below and uncomment it. 

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public interface ISymbolicRegressionEvaluator : IRegressionEvaluator, ISymbolicDataAnalysisEvaluator {
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  public interface ISymbolicClassificationEvaluator : IClassificationEvaluator, ISymbolicDataAnalysisEvaluator {
   }
 }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationMultiObjectiveEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public interface ISymbolicRegressionMultiObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  public interface ISymbolicClassificationMultiObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
   }
 }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationSingleObjectiveEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public interface ISymbolicRegressionSingleObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  public interface ISymbolicClassificationSingleObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
   }
 }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-
 using HeuristicLab.Common;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicRegressionEvaluator {
-    public new IRegressionProblemData ProblemData {
-      get { return (IRegressionProblemData)base.ProblemData; }
+
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  public abstract class SymbolicClassificationMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicClassificationMultiObjectiveEvaluator {
+    public new IClassificationProblemData ProblemData {
+      get { return (IClassificationProblemData)base.ProblemData; }
     }
 
     [StorableConstructor]
-    protected SymbolicRegressionMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicRegressionMultiObjectiveEvaluator(SymbolicRegressionMultiObjectiveEvaluator original, Cloner cloner)
+    protected SymbolicClassificationMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicClassificationMultiObjectiveEvaluator(SymbolicClassificationMultiObjectiveEvaluator original, Cloner cloner)
       : base(original, cloner) {
     }
 
-    protected SymbolicRegressionMultiObjectiveEvaluator()
+    protected SymbolicClassificationMultiObjectiveEvaluator()
       : base() {
 

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-
 using HeuristicLab.Common;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicRegressionEvaluator {
-    public new IRegressionProblemData ProblemData {
-      get { return (IRegressionProblemData)base.ProblemData; }
+
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  public abstract class SymbolicClassificationSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicClassificationSingleObjectiveEvaluator {
+    public new IClassificationProblemData ProblemData {
+      get { return (IClassificationProblemData)base.ProblemData; }
     }
 
     [StorableConstructor]
-    protected SymbolicRegressionSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicRegressionSingleObjectiveEvaluator(SymbolicRegressionSingleObjectiveEvaluator original, Cloner cloner)
+    protected SymbolicClassificationSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicClassificationSingleObjectiveEvaluator(SymbolicClassificationSingleObjectiveEvaluator original, Cloner cloner)
       : base(original, cloner) {
     }
 
-    protected SymbolicRegressionSingleObjectiveEvaluator()
+    protected SymbolicClassificationSingleObjectiveEvaluator()
       : base() {
 

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs ¶

@@ -27 +27 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Mean squared error evaluator", "Calculates the mean squared error of a symbolic regression solution.")]
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  [Item("Mean squared error evaluator", "Calculates the mean squared error of a symbolic classification solution.")]
   [StorableClass]
-  public class SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
+  public class SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator : SymbolicClassificationSingleObjectiveEvaluator {
     [StorableConstructor]
-    protected SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator(SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator original, Cloner cloner)
+    protected SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator(SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator original, Cloner cloner)
       : base(original, cloner) {
     }
     public override IDeepCloneable Clone(Cloner cloner) {
-      return new SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator(this, cloner);
+      return new SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator(this, cloner);
     }
 
@@ -47 +47 @@
     }
 
-    public static double Calculate(ISymbolicDataAnalysisTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows) {
+    public static double Calculate(ISymbolicDataAnalysisTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) {
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
       IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs ¶

@@ -27 +27 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.SingleObjective.Evaluators {
-  [Item("Pearson R² evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic regression solution.")]
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
+  [Item("Pearson R² evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic classification solution.")]
   [StorableClass]
-  public class SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
+  public class SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator : SymbolicClassificationSingleObjectiveEvaluator {
     [StorableConstructor]
-    protected SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator(bool deserializing) : base(deserializing) { }
-    protected SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator(SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator original, Cloner cloner)
+    protected SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator(SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator original, Cloner cloner)
       : base(original, cloner) {
     }
     public override IDeepCloneable Clone(Cloner cloner) {
-      return new SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator(this, cloner);
+      return new SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator(this, cloner);
     }
 
@@ -47 +47 @@
     }
 
-    public static double Calculate(ISymbolicDataAnalysisTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows) {
+    public static double Calculate(ISymbolicDataAnalysisTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) {
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
       IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/Evaluators/SymbolicRegressionMultiObjectiveEvaluator.cs ¶

@@ -24 +24 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicRegressionEvaluator {
+  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicRegressionMultiObjectiveEvaluator {
     public new IRegressionProblemData ProblemData {
       get { return (IRegressionProblemData)base.ProblemData; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveEvaluator.cs ¶

@@ -24 +24 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicRegressionEvaluator {
+  public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicRegressionSingleObjectiveEvaluator {
     public new IRegressionProblemData ProblemData {
       get { return (IRegressionProblemData)base.ProblemData; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs ¶

@@ -27 +27 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.SingleObjective.Evaluators {
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Pearson R² evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic regression solution.")]
   [StorableClass]

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEvaluator.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationEvaluator : IDataAnalysisEvaluator {
     new IClassificationProblemData ProblemData { get; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationModel.cs ¶

@@ -21 +21 @@
 
 using System.Collections.Generic;
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationModel : IDataAnalysisModel {
     IEnumerable<double> GetEstimatedValues(IClassificationProblemData problemData, IEnumerable<int> rows);

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblem.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationProblem : IDataAnalysisProblem {
     new IClassificationProblemData ProblemData { get; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblemData.cs ¶

@@ -21 +21 @@
 
 using System.Collections.Generic;
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationProblemData : IDataAnalysisProblemData {
     string TargetVariable { get; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolution.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationSolution : IDataAnalysisSolution {
     new IClassificationModel Model { get; }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolutionCreator.cs ¶

@@ -20 +20 @@
 #endregion
 
-namespace HeuristicLab.Problems.DataAnalysis.Classification {
+namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationSolutionCreator : IDataAnalysisSolutionCreator {
   }

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionSolution.cs ¶

@@ -21 +21 @@
 
 namespace HeuristicLab.Problems.DataAnalysis {
-  public interface IClassificationSolution : IDataAnalysisSolution {
+  public interface IRegressionnSolution : IDataAnalysisSolution {
     new IRegressionModel Model { get; }
     new IRegressionProblemData ProblemData { get; }