Changeset 7095 for branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Korns/KornFunctionEight.cs

Timestamp:

11/29/11 14:58:06 (12 years ago)

Author:

sforsten

Message:

#1669: Input variables of Korn functions have been adjusted according to the description.

File:

• branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Korns/KornFunctionEight.cs (modified) (4 diffs)

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Korns/KornFunctionEight.cs

@@ -28 +28 @@
 
     public KornFunctionEight() {
-      Name = "Korn 8 y = 6.87 + (11 * cos(7.23 * X0 * X3 * X4))";
+      Name = "Korn 8 y = 6.87 + (11 * sqrt(7.23 * X0 * X3 * X4))";
       Description = "Paper: Accuracy in Symbolic Regression" + Environment.NewLine
         + "Authors: Michael F. Korns" + Environment.NewLine
-        + "Function: y = 6.87 + (11 * cos(7.23 * X0 * X3 * X4))" + Environment.NewLine
+        + "Function: y = 6.87 + (11 * sqrt(7.23 * X0 * X3 * X4))" + Environment.NewLine
         + "Real Numbers: 3.45, -.982, 100.389, and all other real constants" + Environment.NewLine
         + "Row Features: x1, x2, x9, and all other features" + Environment.NewLine
@@ -39 +39 @@
         + "We test each of the test cases on matrices of 10000 rows by 1 to 5 columns with no noise. "
         + "For each test a training matrix is filled with random numbers between -50 and +50. The test case "
-        + "target expressions are limited to one basis function whose maximum depth is three grammar nodes.\"";
+        + "target expressions are limited to one basis function whose maximum depth is three grammar nodes.\"" + Environment.NewLine + Environment.NewLine
+        + "Note: Because of the square root only non-negatic values are created for the input variables!";
       targetVariable = "Y";
-      inputVariables = new List<string>() { "X0", "X3", "X4" };
+      inputVariables = new List<string>() { "X0", "X1", "X2", "X3", "X4" };
       trainingPartition = new IntRange(0, 5000);
       testPartition = new IntRange(5001, 10000);
@@ -51 +52 @@
       for (int i = 0; i < data[0].Count; i++) {
         x0 = data[0][i];
-        x3 = data[1][i];
-        x4 = data[2][i];
-        results.Add(6.87 + (11 * Math.Cos(7.23 * x0 * x3 * x4)));
+        x3 = data[3][i];
+        x4 = data[4][i];
+        results.Add(6.87 + (11 * Math.Sqrt(7.23 * x0 * x3 * x4)));
       }
       return results;
@@ -60 +61 @@
     protected override List<List<double>> GenerateInput() {
       List<List<double>> dataList = new List<List<double>>();
-      DoubleRange range = new DoubleRange(-50, 50);
+      DoubleRange range = new DoubleRange(0, 50);
       for (int i = 0; i < inputVariables.Count; i++) {
         dataList.Add(RegressionBenchmark.GenerateUniformDistributedValues(testPartition.End, range));