Changeset 1287 for trunk/sources/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.cs

Timestamp:

03/08/09 12:48:18 (15 years ago)

Author:

gkronber

Message:

Merged change sets from CEDMA branch to trunk:

• r957:r990 r992 r1003 r1041:1044 (#419)
• r1051:1053 r1060 (#419, #224)
• r1072:1075 r1104:1106 r1108:1109 r1115:1116 r1129:1130 r1151 r1156 (#419)
• r1201:1202 (#224)
• r1208 (#487)
• r1214:1217 r1230:1231 (#419)
• r1235:1236 r1238:1239 r1245 (#224)
• r1246 (#505)
• r1251:1254 r1262:1263 (#224)
• r1265:1266, r1275:1277 (#419)

File:

• trunk/sources/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.cs (copied) (copied from branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.cs) (1 diff)

trunk/sources/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.cs

@@ -30 +30 @@
 using HeuristicLab.Random;
 using HeuristicLab.Data;
+using HeuristicLab.Operators;
 
 namespace HeuristicLab.GP.StructureIdentification.Classification {
-  public class StandardGP :  HeuristicLab.GP.StructureIdentification.StandardGP {
+  public class StandardGP : HeuristicLab.GP.StructureIdentification.StandardGP {
+
+    protected override IOperator CreateProblemInjector() {
+      return new ProblemInjector();
+    }
+
     protected override IOperator CreateBestSolutionProcessor() {
       IOperator seq = base.CreateBestSolutionProcessor();
-      AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator();
-      trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy";
-      trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
-      trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
+      seq.AddSubOperator(BestSolutionProcessor);
+      return seq;
+    }
 
-      AccuracyEvaluator validationAccuracy = new AccuracyEvaluator();
-      validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy";
-      validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
-      validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
+    internal static IOperator BestSolutionProcessor {
+      get {
+        SequentialProcessor seq = new SequentialProcessor();
+        AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator();
+        trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy";
+        trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
+        trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
 
-      AccuracyEvaluator testAccuracy = new AccuracyEvaluator();
-      testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy";
-      testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
-      testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
+        AccuracyEvaluator validationAccuracy = new AccuracyEvaluator();
+        validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy";
+        validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
+        validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
 
-      ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator();
-      trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix";
-      trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
-      trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
+        AccuracyEvaluator testAccuracy = new AccuracyEvaluator();
+        testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy";
+        testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
+        testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
 
-      ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator();
-      validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix";
-      validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
-      validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
+        ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator();
+        trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix";
+        trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
+        trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
 
-      ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator();
-      testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix";
-      testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
-      testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
+        ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator();
+        validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix";
+        validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
+        validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
 
-      seq.AddSubOperator(trainingAccuracy);
-      seq.AddSubOperator(validationAccuracy);
-      seq.AddSubOperator(testAccuracy);
-      return seq;
+        ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator();
+        testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix";
+        testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
+        testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
+
+        seq.AddSubOperator(trainingAccuracy);
+        seq.AddSubOperator(validationAccuracy);
+        seq.AddSubOperator(testAccuracy);
+        seq.AddSubOperator(trainingConfusionMatrix);
+        seq.AddSubOperator(validationConfusionMatrix);
+        seq.AddSubOperator(testConfusionMatrix);
+        return seq;
+      }
     }
   }