Changeset 14630 for trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs

Timestamp:

02/01/17 09:58:06 (7 years ago)

Author:

gkronber

Message:

#2288: introduced base class for variable network instance description and implemented GRR and Linear variable networks as specific classes

File:

• trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs

@@ -49 +49 @@
     public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
       var numVariables = new int[] { 10, 20, 50, 100 };
-      var noiseRatios = new double[] { 0, 0.01, 0.05, 0.1 };
+      var noiseRatios = new double[] { 0, 0.01, 0.05, 0.1, 0.2 };
       var rand = new MersenneTwister((uint)Seed); // use fixed seed for deterministic problem generation
-      return (from size in numVariables
-              from noiseRatio in noiseRatios
-              select new VariableNetwork(size, noiseRatio, new MersenneTwister((uint)rand.Next())))
-              .Cast<IDataDescriptor>()
-              .ToList();
+      var lr = (from size in numVariables
+                from noiseRatio in noiseRatios
+                select new LinearVariableNetwork(size, noiseRatio, new MersenneTwister((uint)rand.Next())))
+                .Cast<IDataDescriptor>()
+                .ToList();
+      var gp = (from size in numVariables
+                from noiseRatio in noiseRatios
+                select new GaussianProcessVariableNetwork(size, noiseRatio, new MersenneTwister((uint)rand.Next())))
+                .Cast<IDataDescriptor>()
+                .ToList();
+      return lr.Concat(gp);
     }