source: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/ICovarianceFunction.cs @ 13721

Last change on this file since 13721 was 13721, checked in by mkommend, 5 years ago

#2591: Changed all GP covariance and mean functions to use int[] for column indices instead of IEnumerable<int>. Changed GP utils, GPModel and StudentTProcessModell as well to use fewer iterators and adapted unit tests to new interface.

File size: 1.7 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Collections.Generic;
23using HeuristicLab.Core;
24
25namespace HeuristicLab.Algorithms.DataAnalysis {
26
27  public delegate double CovarianceFunctionDelegate(double[,] x, int i, int j);
28  public delegate double CrossCovarianceFunctionDelegate(double[,] x, double[,] xt, int i, int j);
29  public delegate IEnumerable<double> CovarianceGradientFunctionDelegate(double[,] x, int i, int j);
30
31  public class ParameterizedCovarianceFunction {
32    public CovarianceFunctionDelegate Covariance { get; set; }
33    public CrossCovarianceFunctionDelegate CrossCovariance { get; set; }
34    public CovarianceGradientFunctionDelegate CovarianceGradient { get; set; }
35  }
36
37  public interface ICovarianceFunction : IItem {
38    int GetNumberOfParameters(int numberOfVariables);
39    void SetParameter(double[] p);
40    ParameterizedCovarianceFunction GetParameterizedCovarianceFunction(double[] p, int[] columnIndices);
41  }
42}
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