Changeset 14305 for stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/FeatureSelection

Timestamp:

09/23/16 12:57:27 (8 years ago)

Author:

gkronber

Message:

#2371: merged r14228, r14229 from trunk to stable

Location:

stable

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.Instances.DataAnalysis (modified) (1 prop)
• HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/FeatureSelection/FeatureSelectionInstanceProvider.cs (modified) (2 diffs)

stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/FeatureSelection/FeatureSelectionInstanceProvider.cs

@@ -41 +41 @@
       get { return ""; }
     }
+    public int Seed { get; private set; }
+
+    public FeatureSelectionInstanceProvider() : base() {
+      Seed = (int)DateTime.Now.Ticks;
+    }
+
+    public FeatureSelectionInstanceProvider(int seed) : base() {
+      Seed = seed;
+    }
+
 
     public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
@@ -46 +56 @@
       var pp = new double[] { 0.1, 0.25, 0.5 };
       var noiseRatios = new double[] { 0.01, 0.05, 0.1, 0.2 };
-      var mt = new MersenneTwister();
-      var xGenerator = new NormalDistributedRandom(mt, 0, 1);
-      var weightGenerator = new UniformDistributedRandom(mt, 0, 10);
+      var rand = new MersenneTwister((uint)Seed); // use fixed seed for deterministic problem generation
+
       return (from size in sizes
               from p in pp
               from noiseRatio in noiseRatios
+              let instanceSeed = rand.Next()
+              let mt = new MersenneTwister((uint)instanceSeed)
+              let xGenerator = new NormalDistributedRandom(mt, 0, 1)
+              let weightGenerator = new UniformDistributedRandom(mt, 0, 10)
               select new FeatureSelection(size, p, noiseRatio, xGenerator, weightGenerator))
               .Cast<IDataDescriptor>()