#region License Information
/* HeuristicLab
* Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HEAL.Attic;
namespace HeuristicLab.Algorithms.DataAnalysis {
[StorableType("0618DE2C-6A69-4086-ADE1-F983AC626F42")]
// conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
[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.")]
public class PolysplineKernel : KernelBase {
private const string DegreeParameterName = "Degree";
public IFixedValueParameter DegreeParameter {
get { return (IFixedValueParameter)Parameters[DegreeParameterName]; }
}
public DoubleValue Degree {
get { return DegreeParameter.Value; }
}
[StorableConstructor]
protected PolysplineKernel(StorableConstructorFlag _) : base(_) { }
protected PolysplineKernel(PolysplineKernel original, Cloner cloner) : base(original, cloner) { }
public PolysplineKernel() {
Parameters.Add(new FixedValueParameter(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(1.0)));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new PolysplineKernel(this, cloner);
}
protected override double Get(double norm) {
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;
var d = norm / beta;
return Math.Pow(d, Degree.Value);
}
//-degree/beta * (norm/beta)^degree
protected override double GetGradient(double norm) {
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;
var d = norm / beta;
return -Degree.Value / beta * Math.Pow(d, Degree.Value);
}
}
}