Changeset 7043

Timestamp:

11/22/11 16:21:11 (13 years ago)

Author:

mkommend

Message:

#1612: Created mean model for RegressionSolutionErrorCharacteristicsCurveView.

Location:

trunk/sources

Files:

• HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionErrorCharacteristicsCurveView.Designer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionErrorCharacteristicsCurveView.cs (modified) (4 diffs)
• HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleProblemData.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionModel.cs (added)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionSolution.cs (added)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionErrorCharacteristicsCurveView.Designer.cs

@@ -49 +49 @@
       this.chart.TabIndex = 0;
       this.chart.Text = "chart";
+      this.chart.MouseDown += new System.Windows.Forms.MouseEventHandler(this.chart_MouseDown);
       // 
       // label1

trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionErrorCharacteristicsCurveView.cs

@@ -31 +31 @@
   [Content(typeof(IRegressionSolution))]
   public partial class RegressionSolutionErrorCharacteristicsCurveView : DataAnalysisSolutionEvaluationView {
+    private IRegressionSolution constantModel;
     protected const string TrainingSamples = "Training";
     protected const string TestSamples = "Test";
@@ -101 +102 @@
       if (Content == null) return;
 
-      var originalValues = GetOriginalValues();
-      var meanModelEstimatedValues = GetMeanModelEstimatedValues(originalValues);
+      var originalValues = GetOriginalValues().ToList();
+      constantModel = CreateConstantModel();
+      var meanModelEstimatedValues = GetEstimatedValues(constantModel);
       var meanModelResiduals = GetResiduals(originalValues, meanModelEstimatedValues);
 
@@ -113 +115 @@
       UpdateSeries(meanModelResiduals, meanModelSeries);
       meanModelSeries.ToolTip = "Area over Curve: " + CalculateAreaOverCurve(meanModelSeries);
+      meanModelSeries.Tag = constantModel;
       chart.Series.Add(meanModelSeries);
 
@@ -225 +228 @@
       else UpdateChart();
     }
+
+    #region Mean Model
+    private void chart_MouseDown(object sender, MouseEventArgs e) {
+      if (e.Clicks < 2) return;
+      HitTestResult result = chart.HitTest(e.X, e.Y);
+      if (result.ChartElementType != ChartElementType.LegendItem) return;
+      if (result.Series.Name != constantModel.Name) return;
+
+      MainFormManager.MainForm.ShowContent((IRegressionSolution)result.Series.Tag);
+    }
+
+    private IRegressionSolution CreateConstantModel() {
+      double averageTrainingTarget = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).Average();
+      var solution = new ConstantRegressionModel(averageTrainingTarget).CreateRegressionSolution(ProblemData);
+      solution.Name = "Mean Model";
+      return solution;
+    }
+    #endregion
   }
 }

trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj

@@ -122 +122 @@
     <Compile Include="Implementation\Clustering\ClusteringProblemData.cs" />
     <Compile Include="Implementation\Clustering\ClusteringSolution.cs" />
+    <Compile Include="Implementation\Regression\ConstantRegressionModel.cs" />
+    <Compile Include="Implementation\Regression\ConstantRegressionSolution.cs" />
     <Compile Include="Implementation\Regression\RegressionEnsembleProblemData.cs" />
     <Compile Include="Implementation\Regression\RegressionEnsembleModel.cs">

trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleProblemData.cs

@@ -43 +43 @@
 
     private static readonly ClassificationEnsembleProblemData emptyProblemData;
-    public static ClassificationEnsembleProblemData EmptyProblemData {
+    public static new ClassificationEnsembleProblemData EmptyProblemData {
       get { return emptyProblemData; }
     }