Changeset 9494 for branches/LearningClassifierSystems/HeuristicLab.Encodings.ConditionActionEncoding/3.3/XCSSolution.cs

Timestamp:

05/14/13 16:54:01 (11 years ago)

Author:

sforsten

Message:

#1980:

• renamed algorithm Learning Classifier System to XCS
• DecisionListSolution and XCSSolution show more information
• VariableVectorClassificationProblemData can now also import datasets where the last variable is not the target variable

File:

• branches/LearningClassifierSystems/HeuristicLab.Encodings.ConditionActionEncoding/3.3/XCSSolution.cs (modified) (4 diffs)

branches/LearningClassifierSystems/HeuristicLab.Encodings.ConditionActionEncoding/3.3/XCSSolution.cs

@@ -37 +37 @@
     private const string TrainingAccuracyResultName = "Accuracy (training)";
     private const string TestAccuracyResultName = "Accuracy (test)";
+    private const string NumberOfMacroClassifiersName = "Number of Macroclassifiers";
 
     public string Filename { get; set; }
@@ -47 +48 @@
       get { return ((DoubleValue)this[TestAccuracyResultName].Value).Value; }
       private set { ((DoubleValue)this[TestAccuracyResultName].Value).Value = value; }
+    }
+    public int NumberOfMacroClassifiers {
+      get { return ((IntValue)this[NumberOfMacroClassifiersName].Value).Value; }
+      private set { ((IntValue)this[NumberOfMacroClassifiersName].Value).Value = value; }
     }
 
@@ -97 +102 @@
       Add(new Result(TrainingAccuracyResultName, "Accuracy of the model on the training partition (percentage of correctly classified instances).", new PercentValue()));
       Add(new Result(TestAccuracyResultName, "Accuracy of the model on the test partition (percentage of correctly classified instances).", new PercentValue()));
+      Add(new Result(NumberOfMacroClassifiersName, new IntValue(model.ClassifierCount)));
 
       problemData.Changed += new EventHandler(ProblemData_Changed);
@@ -104 +110 @@
 
     private void RecalculateResults() {
+      NumberOfMacroClassifiers = Model.ClassifierCount;
       var originalTrainingCondition = ProblemData.FetchInput(ProblemData.TrainingIndices);
       var originalTestCondition = ProblemData.FetchInput(ProblemData.TestIndices);