Changeset 8982 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/IMeanFunction.cs

Timestamp:

12/01/12 19:02:47 (12 years ago)

Author:

gkronber

Message:

#1902: removed class HyperParameter and changed implementations of covariance and mean functions to remove the parameter value caching and event handlers for parameter caching. Instead it is now possible to create the actual covariance and mean functions as Func from templates and specified parameter values. The instances of mean and covariance functions configured in the GUI are actually templates where the structure and fixed parameters can be specified.

File:

• trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/IMeanFunction.cs (modified) (1 diff)

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

@@ -19 +19 @@
  */
 #endregion
+
+using System;
+using System.Collections.Generic;
 using HeuristicLab.Core;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
+  public delegate double MeanFunctionDelegate(double[,] x, int row);
+  public delegate double MeanGradientDelegate(double[,] x, int row, int k);
+
+  public class ParameterizedMeanFunction {
+    public MeanFunctionDelegate Mean { get; set; }
+    public MeanGradientDelegate Gradient { get; set; }
+  }
+
   public interface IMeanFunction : IItem {
     int GetNumberOfParameters(int numberOfVariables);
-    void SetParameter(double[] hyp);
-    double[] GetMean(double[,] x);
-    double[] GetGradients(int k, double[,] x);
+    void SetParameter(double[] p);
+    ParameterizedMeanFunction GetParameterizedMeanFunction(double[] p, IEnumerable<int> columnIndices);
   }
 }