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source: stable/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.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: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  [StorableType("a83cbf4d-6e7c-4e30-904e-d0f0c89d2ed3")]
29  /// <summary>
30  /// Interface to represent a Gaussian process model creator (either regression or classification)
31  /// </summary>
32  public interface IGaussianProcessModelCreator : IOperator {
33    ILookupParameter<RealVector> HyperparameterParameter { get; }
34    ILookupParameter<IMeanFunction> MeanFunctionParameter { get; }
35    ILookupParameter<ICovarianceFunction> CovarianceFunctionParameter { get; }
36    ILookupParameter<IGaussianProcessModel> ModelParameter { get; }
37    ILookupParameter<RealVector> HyperparameterGradientsParameter { get; }
38    ILookupParameter<DoubleValue> NegativeLogLikelihoodParameter { get; }
39    ILookupParameter<DoubleValue> NegativeLogPseudoLikelihoodParameter { get; }
40  }
41}
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