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source: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.cs @ 9124

Last change on this file since 9124 was 9096, checked in by gkronber, 12 years ago

#2000 created a base class for Gaussian process algorithms and implemented two specific versions for classification and regression with a parameter to choose the model creator

File size: 1.7 KB
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[9096]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 HeuristicLab.Core;
23using HeuristicLab.Data;
24using HeuristicLab.Encodings.RealVectorEncoding;
25using HeuristicLab.Problems.DataAnalysis;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  /// <summary>
29  /// Interface to represent a Gaussian process model creator (either regression or classification)
30  /// </summary>
31  public interface IGaussianProcessModelCreator : IOperator {
32    ILookupParameter<RealVector> HyperparameterParameter { get; }
33    ILookupParameter<IMeanFunction> MeanFunctionParameter { get; }
34    ILookupParameter<ICovarianceFunction> CovarianceFunctionParameter { get; }
35    ILookupParameter<IGaussianProcessModel> ModelParameter { get; }
36    ILookupParameter<RealVector> HyperparameterGradientsParameter { get; }
37    ILookupParameter<DoubleValue> NegativeLogLikelihoodParameter { get; }
38  }
39}
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