Changeset 8430 for branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/KotanchekFunction.cs

Timestamp:

08/08/12 14:04:17 (12 years ago)

Author:

mkommend

Message:

#1081: Intermediate commit of trunk updates - interpreter changes must be redone.

Location:

branches/HeuristicLab.TimeSeries

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.Instances.DataAnalysis (modified) (1 prop)
• HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/KotanchekFunction.cs (modified) (3 diffs)

branches/HeuristicLab.TimeSeries

@@ -20 +20 @@
 bin
 protoc.exe
+_ReSharper.HeuristicLab.TimeSeries-3.3

@@ -20 +20 @@
 bin
 protoc.exe
+_ReSharper.HeuristicLab.TimeSeries-3.3

branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/KotanchekFunction.cs

@@ -27 +27 @@
   public class KotanchekFunction : ArtificialRegressionDataDescriptor {
 
-    public override string Name { get { return "Vladislavleva Kotanchek"; } }
+    public override string Name { get { return "Vladislavleva-1 F1(X1,X2) = exp(-(X1 - 1))² / (1.2 + (X2 -2.5)²"; } }
     public override string Description {
       get {
         return "Paper: Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming " + Environment.NewLine
         + "Authors: Ekaterina J. Vladislavleva, Member, IEEE, Guido F. Smits, Member, IEEE, and Dick den Hertog" + Environment.NewLine
-        + "Function: F1(X1, X2) = e^-(X1 - 1)^2 / (1.2 + (X2 -2.5)^2" + Environment.NewLine
+        + "Function: F1(X1, X2) = exp(-(X1 - 1))² / (1.2 + (X2 -2.5)²" + Environment.NewLine
         + "Training Data: 100 points X1, X2 = Rand(0.3, 4)" + Environment.NewLine
         + "Test Data: 2026 points (X1, X2) = (-0.2:0.1:4.2)" + Environment.NewLine
-        + "Function Set: +, -, *, /, sqaure, x^real, x + real, x + real, e^x, e^-x";
+        + "Function Set: +, -, *, /, square, e^x, e^-x, x^eps, x + eps, x * eps";
       }
     }
@@ -43 +43 @@
     protected override int TrainingPartitionStart { get { return 0; } }
     protected override int TrainingPartitionEnd { get { return 100; } }
-    protected override int TestPartitionStart { get { return 1000; } }
-    protected override int TestPartitionEnd { get { return 3025; } }
+    protected override int TestPartitionStart { get { return 100; } }
+    protected override int TestPartitionEnd { get { return 2126; } }
 
     protected override List<List<double>> GenerateValues() {
@@ -53 +53 @@
       var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>();
       for (int i = 0; i < AllowedInputVariables.Count(); i++) {
-        data.Add(ValueGenerator.GenerateUniformDistributedValues(1000, 0.3, 4).ToList());
+        data.Add(ValueGenerator.GenerateUniformDistributedValues(100, 0.3, 4).ToList());
         data[i].AddRange(combinations[i]);
       }

@@ -20 +20 @@
 bin
 protoc.exe
+_ReSharper.HeuristicLab.TimeSeries-3.3