Changeset 15195 for stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs

Timestamp:

07/11/17 12:55:52 (7 years ago)

Author:

gkronber

Message:

#2660: merged r14260,r14271,r14291,r14623,r14630,r15194 from trunk to stable

File:

• stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs (modified) (3 diffs)

stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/VariableNetworks/VariableNetworkInstanceProvider.cs

@@ -32 +32 @@
     }
     public override string Description {
-      get { return "A set of regression benchmark instances for variable network analysis"; }
+      get { return "A set of regression benchmark instances for variable network analysis. The data for these instances are randomly generated as described in the reference publication."; }
     }
     public override Uri WebLink {
@@ -38 +38 @@
     }
     public override string ReferencePublication {
-      get { return ""; }
+      get { return "G. Kronberger, B. Burlacu, M. Kommenda, S. Winkler, M. Affenzeller. Measures for the Evaluation and Comparison of Graphical Model Structures. to appear in Computer Aided Systems Theory - EUROCAST 2017, Springer 2018"; }
     }
     public int Seed { get; private set; }
@@ -49 +49 @@
     public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
       var numVariables = new int[] { 10, 20, 50, 100 };
-      var noiseRatios = new double[] { 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);
     }