Changeset 9007 for trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEleven.cs

Timestamp:

12/06/12 14:13:39 (11 years ago)

Author:

gkronber

Message:

#1979: cross-checked all regression problem instances with the GP benchmarks paper and adapted where I thought necessary.

File:

• trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEleven.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEleven.cs

@@ -36 +36 @@
           + "range(train): 20 Training cases x,y = rnd(-3, 3)" + Environment.NewLine
           + "range(test): x,y = [-3:0.01:3]" + Environment.NewLine
-          + "Function Set: x + y, x * y, 1/x, -x, sqrt(x)" + Environment.NewLine + Environment.NewLine
-          + "Note: Test partition has been adjusted to only 100 random uniformly distributed test cases in the interval [-3, 3] (not ca. 360000 as described) "
-          + ", but 5000 cases are created";
+          + "Function Set: x + y, x * y, 1/x, -x, sqrt(x)";
       }
     }
@@ -46 +44 @@
     protected override int TrainingPartitionStart { get { return 0; } }
     protected override int TrainingPartitionEnd { get { return 20; } }
-    protected override int TestPartitionStart { get { return 2500; } }
-    protected override int TestPartitionEnd { get { return 2600; } }
+    protected override int TestPartitionStart { get { return 20; } }
+    protected override int TestPartitionEnd { get { return 20 + (601 * 601); } }
 
     protected override List<List<double>> GenerateValues() {
       List<List<double>> data = new List<List<double>>();
+      List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01).ToList();
+      List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData };
+
+      var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList();
+
       for (int i = 0; i < AllowedInputVariables.Count(); i++) {
-        data.Add(ValueGenerator.GenerateUniformDistributedValues(5020, -3, 3).ToList());
+        data.Add(ValueGenerator.GenerateUniformDistributedValues(20, -3, 3).ToList());
+        data[i].AddRange(combinations[i]);
       }