Changeset 395 for trunk/sources/HeuristicLab.StructureIdentification/Evaluation

Timestamp:

07/25/08 14:07:35 (16 years ago)

Author:

gkronber

Message:

added evaluator for mean absolute percentage error and added a parameter for the evaluator for theil's inequality to determine whether to calculate the coefficient for the change or for the absolute value

Location:

trunk/sources/HeuristicLab.StructureIdentification/Evaluation

Files:

• MeanAbsolutePercentageErrorEvaluator.cs (added)
• TheilInequalityCoefficientEvaluator.cs (modified) (3 diffs)

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

@@ -41 +41 @@
     public TheilInequalityCoefficientEvaluator()
       : base() {
+      AddVariableInfo(new VariableInfo("Differential", "Wether to calculate the coefficient for the predicted change vs. original change or for the absolute prediction vs. original value", typeof(BoolData), VariableKind.In));
     }
 
@@ -46 +47 @@
       int trainingStart = GetVariableValue<IntData>("TrainingSamplesStart", scope, true).Data;
       int trainingEnd = GetVariableValue<IntData>("TrainingSamplesEnd", scope, true).Data;
+      bool difference = GetVariableValue<BoolData>("Differential", scope, true).Data;
       double errorsSquaredSum = 0.0;
       double estimatedSquaredSum = 0.0;
@@ -51 +53 @@
       functionTree.PrepareEvaluation(dataset);
       for(int sample = trainingStart; sample < trainingEnd; sample++) {
-        double prevValue = dataset.GetValue(sample - 1, targetVariable);
+        double prevValue = 0.0;
+        if(difference) prevValue = dataset.GetValue(sample - 1, targetVariable);
         double estimatedChange = functionTree.Evaluate(sample) - prevValue;
         double originalChange = dataset.GetValue(sample, targetVariable) - prevValue;