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source: stable/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/ThinPlatePolysplineKernel.cs @ 18190

Last change on this file since 18190 was 17181, checked in by swagner, 5 years ago

#2875: Merged r17180 from trunk to stable

File size: 3.3 KB
RevLine 
[14386]1#region License Information
2/* HeuristicLab
[17181]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[14386]4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
[14891]25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
[17097]27using HEAL.Attic;
[14386]28
[15249]29namespace HeuristicLab.Algorithms.DataAnalysis {
[17097]30  [StorableType("4D79FB1C-94CD-4450-8CD0-F9594A5F03FE")]
[14887]31  // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
[14891]32  [Item("ThinPlatePolysplineKernel", "A kernel function that uses the ThinPlatePolyspline function (||x-c||/Beta)^(Degree)*log(||x-c||/Beta) as described in \"Thin-Plate Spline Radial Basis Function Scheme for Advection-Diffusion Problems\" with beta as a scaling parameter.")]
[14872]33  public class ThinPlatePolysplineKernel : KernelBase {
[14891]34
35    private const string DegreeParameterName = "Degree";
[15249]36
[14892]37    public IFixedValueParameter<DoubleValue> DegreeParameter {
[15249]38      get { return (IFixedValueParameter<DoubleValue>)Parameters[DegreeParameterName]; }
[14891]39    }
[14892]40    public DoubleValue Degree {
[14891]41      get { return DegreeParameter.Value; }
42    }
43
[14386]44    [StorableConstructor]
[17097]45    protected ThinPlatePolysplineKernel(StorableConstructorFlag _) : base(_) { }
[15249]46
[14872]47    protected ThinPlatePolysplineKernel(ThinPlatePolysplineKernel original, Cloner cloner) : base(original, cloner) { }
[15249]48
[14386]49    public ThinPlatePolysplineKernel() {
[14891]50      Parameters.Add(new FixedValueParameter<DoubleValue>(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(2.0)));
[14386]51    }
[15249]52
[14386]53    public override IDeepCloneable Clone(Cloner cloner) {
[14872]54      return new ThinPlatePolysplineKernel(this, cloner);
[14386]55    }
56
57    protected override double Get(double norm) {
[15249]58      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance while Beta is null");
[14887]59      var beta = Beta.Value;
[14891]60      if (Math.Abs(beta) < double.Epsilon) return double.NaN;
61      var d = norm / beta;
62      if (Math.Abs(d) < double.Epsilon) return 0;
63      return Math.Pow(d, Degree.Value) * Math.Log(d);
[14386]64    }
65
[14891]66    // (Degree/beta) * (norm/beta)^Degree * log(norm/beta)
[14386]67    protected override double GetGradient(double norm) {
[15249]68      if (Beta == null) throw new InvalidOperationException("Can not calculate kernel distance gradient while Beta is null");
[14887]69      var beta = Beta.Value;
[14891]70      if (Math.Abs(beta) < double.Epsilon) return double.NaN;
71      var d = norm / beta;
72      if (Math.Abs(d) < double.Epsilon) return 0;
73      return Degree.Value / beta * Math.Pow(d, Degree.Value) * Math.Log(d);
[14386]74    }
75  }
76}
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