Changeset 8612 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/MeanZero.cs

Timestamp:

09/10/12 13:28:55 (12 years ago)

Author:

gkronber

Message:

#1902 implemented all mean and covariance functions with parameters as ParameterizedNamedItems

File:

• trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/MeanZero.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/MeanZero.cs

@@ -28 +28 @@
   [StorableClass]
   [Item(Name = "MeanZero", Description = "Constant zero mean function for Gaussian processes.")]
-  public class MeanZero : Item, IMeanFunction {
-    public int GetNumberOfParameters(int numberOfVariables) {
-      return 0;
-    }
+  public sealed class MeanZero : Item, IMeanFunction {
     [StorableConstructor]
-    protected MeanZero(bool deserializing) : base(deserializing) { }
-    protected MeanZero(MeanZero original, Cloner cloner)
+    private MeanZero(bool deserializing) : base(deserializing) { }
+    private MeanZero(MeanZero original, Cloner cloner)
       : base(original, cloner) {
     }
@@ -40 +37 @@
     }
 
+    public override IDeepCloneable Clone(Cloner cloner) {
+      return new MeanZero(this, cloner);
+    }
+
+    public int GetNumberOfParameters(int numberOfVariables) {
+      return 0;
+    }
+
     public void SetParameter(double[] hyp) {
       if (hyp.Length > 0) throw new ArgumentException("No hyper-parameters allowed for zero mean function.", "hyp");
-    }
-
-    public void SetData(double[,] x) {
-      // do nothing
     }
 
@@ -56 +57 @@
       return Enumerable.Repeat(0.0, x.GetLength(0)).ToArray();
     }
-    public override IDeepCloneable Clone(Cloner cloner) {
-      return new MeanZero(this, cloner);
-    }
   }
 }