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source: branches/RBFRegression/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/PolysplineKernel.cs @ 14892

Last change on this file since 14892 was 14892, checked in by gkronber, 7 years ago

#2699: made some adjustments after bwerth's changes (mainly formatting)

File size: 3.1 KB
RevLine 
[14386]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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;
[14891]24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
[14386]27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
[14887]29namespace HeuristicLab.Algorithms.DataAnalysis.KernelRidgeRegression {
[14386]30  [StorableClass]
[14887]31  // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
[14891]32  [Item("PolysplineKernel", "A kernel function that uses the polyharmonic function (||x-c||/Beta)^Degree as given in http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf with beta as a scaling parameters.")]
[14872]33  public class PolysplineKernel : KernelBase {
[14386]34
[14891]35    #region Parameternames
36    private const string DegreeParameterName = "Degree";
37    #endregion
38    #region Parameterproperties
[14892]39    public IFixedValueParameter<DoubleValue> DegreeParameter {
[14891]40      get { return Parameters[DegreeParameterName] as IFixedValueParameter<DoubleValue>; }
41    }
42    #endregion
43    #region Properties
[14892]44    public DoubleValue Degree {
[14891]45      get { return DegreeParameter.Value; }
46    }
47    #endregion
48
[14386]49    #region HLConstructors & Boilerplate
50    [StorableConstructor]
51    protected PolysplineKernel(bool deserializing) : base(deserializing) { }
52    [StorableHook(HookType.AfterDeserialization)]
53    private void AfterDeserialization() { }
[14891]54    protected PolysplineKernel(PolysplineKernel original, Cloner cloner) : base(original, cloner) { }
[14386]55    public PolysplineKernel() {
[14891]56      Parameters.Add(new FixedValueParameter<DoubleValue>(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(1.0)));
[14386]57    }
58    public override IDeepCloneable Clone(Cloner cloner) {
[14872]59      return new PolysplineKernel(this, cloner);
[14386]60    }
61    #endregion
62
63    protected override double Get(double norm) {
[14891]64      var beta = Beta.Value;
65      if (Math.Abs(beta) < double.Epsilon) return double.NaN;
66      var d = norm / beta;
67      return Math.Pow(d, Degree.Value);
[14386]68    }
69
[14891]70    //-degree/beta * (norm/beta)^degree
[14386]71    protected override double GetGradient(double norm) {
[14891]72      var beta = Beta.Value;
73      if (Math.Abs(beta) < double.Epsilon) return double.NaN;
74      var d = norm / beta;
75      return -Degree.Value / beta * Math.Pow(d, Degree.Value);
[14386]76    }
77  }
78}
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