Changeset 14228 for trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTen.cs

Timestamp:

08/02/16 18:09:47 (8 years ago)

Author:

gkronber

Message:

#2371: added constructors to allow specification of random seeds for randomly generated regression problem instances (primarily for unit tests)

File:

• trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTen.cs (modified) (3 diffs)

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

@@ -24 +24 @@
 using System.Linq;
 using HeuristicLab.Common;
+using HeuristicLab.Random;
 
 namespace HeuristicLab.Problems.Instances.DataAnalysis {
@@ -46 +47 @@
     protected override int TestPartitionStart { get { return 100; } }
     protected override int TestPartitionEnd { get { return 100 + (101 * 101); } }
+    public int Seed { get; }
 
+    public KeijzerFunctionTen() : this((int)System.DateTime.Now.Ticks) {
+    }
+    public KeijzerFunctionTen(int seed) : base() {
+      Seed = seed;
+    }
     protected override List<List<double>> GenerateValues() {
       List<List<double>> data = new List<List<double>>();
@@ -54 +61 @@
 
       var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>();
+      var rand = new MersenneTwister((uint)Seed);
       for (int i = 0; i < AllowedInputVariables.Count(); i++) {
-        data.Add(ValueGenerator.GenerateUniformDistributedValues(100, 0, 1).ToList());
+        data.Add(ValueGenerator.GenerateUniformDistributedValues(rand.Next(), 100, 0, 1).ToList());
         data[i].AddRange(combinations[i]);
       }