Changeset 15164 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions

Timestamp:

07/06/17 15:56:54 (7 years ago)

Author:

bwerth

Message:

#2699 KRRModel: made helper functions static; made contets of "allowedInputVariables" immutable; made constructor private and added public "Create"-method that does most of the learning now;

Kernels: fixed inconsitency in error messages

Location:

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions

Files:

• PolysplineKernel.cs (modified) (1 diff)
• ThinPlatePolysplineKernel.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/PolysplineKernel.cs

@@ -57 +57 @@
 
     protected override double Get(double norm) {
-      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance while Beta is null");
+      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance gradient while Beta is null");
       var beta = Beta.Value;
       if (Math.Abs(beta) < double.Epsilon) return double.NaN;

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/ThinPlatePolysplineKernel.cs

@@ -66 +66 @@
     // (Degree/beta) * (norm/beta)^Degree * log(norm/beta) 
     protected override double GetGradient(double norm) {
-      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance while Beta is null");
+      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance gradient while Beta is null");
       var beta = Beta.Value;
       if (Math.Abs(beta) < double.Epsilon) return double.NaN;