Changeset 482 for trunk/sources/HeuristicLab.StructureIdentification/Evaluation/MeanSquaredErrorEvaluator.cs

Timestamp:

08/10/08 12:44:27 (16 years ago)

Author:

gkronber

Message:

made a few more improvements in the GP evaluators (ticket #242 All GP evaluators should support the 'UseEstimatedTargetValues' switch for autoregressive modelling)

File:

• trunk/sources/HeuristicLab.StructureIdentification/Evaluation/MeanSquaredErrorEvaluator.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.StructureIdentification/Evaluation/MeanSquaredErrorEvaluator.cs

@@ -32 +32 @@
 namespace HeuristicLab.StructureIdentification {
   public class MeanSquaredErrorEvaluator : GPEvaluatorBase {
+    protected DoubleData mse;
     public override string Description {
       get {
@@ -41 +42 @@
     public MeanSquaredErrorEvaluator()
       : base() {
+      AddVariableInfo(new VariableInfo("MSE", "The mean squared error of the model", typeof(DoubleData), VariableKind.New));
     }
 
-    public override double Evaluate(int start, int end) {
+    public override IOperation Apply(IScope scope) {
+      mse = GetVariableValue<DoubleData>("MSE", scope, false, false);
+      if(mse == null) {
+        mse = new DoubleData();
+        scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("MSE"), mse));
+      }
+
+      return base.Apply(scope);
+    }
+
+    public override void Evaluate(int start, int end) {
       double errorsSquaredSum = 0;
       for(int sample = start; sample < end; sample++) {
@@ -59 +71 @@
         errorsSquaredSum = double.MaxValue;
       }
-      return errorsSquaredSum;
+      mse.Data = errorsSquaredSum;
     }
   }