Changeset 712 for trunk/sources/HeuristicLab.GP.StructureIdentification/Evaluators/EarlyStoppingMeanSquaredErrorEvaluator.cs

Timestamp:

11/05/08 21:34:12 (15 years ago)

Author:

gkronber

Message:

fixed a stupid mistake introduced with r702 #328 (GP evaluation doesn't work in a thread parallel engine).

File:

• trunk/sources/HeuristicLab.GP.StructureIdentification/Evaluators/EarlyStoppingMeanSquaredErrorEvaluator.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.GP.StructureIdentification/Evaluators/EarlyStoppingMeanSquaredErrorEvaluator.cs

@@ -47 +47 @@
       double qualityLimit = GetVariableValue<DoubleData>("QualityLimit", scope, false).Data;
       DoubleData mse = GetVariableValue<DoubleData>("MSE", scope, false, false);
-      if(mse == null) {
+      if (mse == null) {
         mse = new DoubleData();
         scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("MSE"), mse));
@@ -54 +54 @@
       double errorsSquaredSum = 0;
       int rows = end - start;
-      for(int sample = start; sample < end; sample++) {
+      for (int sample = start; sample < end; sample++) {
         double estimated = evaluator.Evaluate(sample);
-        double original = dataset.GetValue(targetVariable, sample);
-        if(updateTargetValues) {
-          dataset.SetValue(targetVariable, sample, estimated);
+        double original = dataset.GetValue(sample, targetVariable);
+        if (updateTargetValues) {
+          dataset.SetValue(sample, targetVariable, estimated);
         }
-        if(!double.IsNaN(original) && !double.IsInfinity(original)) {
+        if (!double.IsNaN(original) && !double.IsInfinity(original)) {
           double error = estimated - original;
           errorsSquaredSum += error * error;
         }
         // check the limit and stop as soon as we hit the limit
-        if(errorsSquaredSum / rows >= qualityLimit) {
+        if (errorsSquaredSum / rows >= qualityLimit) {
           mse.Data = errorsSquaredSum / (sample - start + 1); // return estimated MSE (when the remaining errors are on average the same)
           return;
@@ -71 +71 @@
       }
       errorsSquaredSum /= rows;
-      if(double.IsNaN(errorsSquaredSum) || double.IsInfinity(errorsSquaredSum)) {
+      if (double.IsNaN(errorsSquaredSum) || double.IsInfinity(errorsSquaredSum)) {
         errorsSquaredSum = double.MaxValue;
       }