Changeset 6238 for trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs

Timestamp:

05/20/11 15:07:45 (13 years ago)

Author:

gkronber

Message:

#1450 adapted views for regression solution to work for ensembles of regression solutions as well.

File:

• trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs

@@ -55 +55 @@
     public double TrainingMeanSquaredError {
       get { return ((DoubleValue)this[TrainingMeanSquaredErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TrainingMeanSquaredErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TrainingMeanSquaredErrorResultName].Value).Value = value; }
     }
 
     public double TestMeanSquaredError {
       get { return ((DoubleValue)this[TestMeanSquaredErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TestMeanSquaredErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TestMeanSquaredErrorResultName].Value).Value = value; }
     }
 
     public double TrainingRSquared {
       get { return ((DoubleValue)this[TrainingSquaredCorrelationResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TrainingSquaredCorrelationResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TrainingSquaredCorrelationResultName].Value).Value = value; }
     }
 
     public double TestRSquared {
       get { return ((DoubleValue)this[TestSquaredCorrelationResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TestSquaredCorrelationResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TestSquaredCorrelationResultName].Value).Value = value; }
     }
 
     public double TrainingRelativeError {
       get { return ((DoubleValue)this[TrainingRelativeErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TrainingRelativeErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TrainingRelativeErrorResultName].Value).Value = value; }
     }
 
     public double TestRelativeError {
       get { return ((DoubleValue)this[TestRelativeErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TestRelativeErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TestRelativeErrorResultName].Value).Value = value; }
     }
 
     public double TrainingNormalizedMeanSquaredError {
       get { return ((DoubleValue)this[TrainingNormalizedMeanSquaredErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TrainingNormalizedMeanSquaredErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TrainingNormalizedMeanSquaredErrorResultName].Value).Value = value; }
     }
 
     public double TestNormalizedMeanSquaredError {
       get { return ((DoubleValue)this[TestNormalizedMeanSquaredErrorResultName].Value).Value; }
-      protected set { ((DoubleValue)this[TestNormalizedMeanSquaredErrorResultName].Value).Value = value; }
+      private set { ((DoubleValue)this[TestNormalizedMeanSquaredErrorResultName].Value).Value = value; }
     }
 
@@ -126 +126 @@
     }
 
-    private void RecalculateResults() {
+    protected void RecalculateResults() {
       double[] estimatedTrainingValues = EstimatedTrainingValues.ToArray(); // cache values
       IEnumerable<double> originalTrainingValues = ProblemData.Dataset.GetEnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes);