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source: branches/2817-BinPackingSpeedup/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/IGaussianProcessModelCreator.cs @ 15617

Last change on this file since 15617 was 15187, checked in by gkronber, 7 years ago

#2782: renamed remaining fields and properties referring to 'PredictiveProbability'

File size: 1.7 KB
Line 
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 HeuristicLab.Core;
23using HeuristicLab.Data;
24using HeuristicLab.Encodings.RealVectorEncoding;
25
26namespace HeuristicLab.Algorithms.DataAnalysis {
27  /// <summary>
28  /// Interface to represent a Gaussian process model creator (either regression or classification)
29  /// </summary>
30  public interface IGaussianProcessModelCreator : IOperator {
31    ILookupParameter<RealVector> HyperparameterParameter { get; }
32    ILookupParameter<IMeanFunction> MeanFunctionParameter { get; }
33    ILookupParameter<ICovarianceFunction> CovarianceFunctionParameter { get; }
34    ILookupParameter<IGaussianProcessModel> ModelParameter { get; }
35    ILookupParameter<RealVector> HyperparameterGradientsParameter { get; }
36    ILookupParameter<DoubleValue> NegativeLogLikelihoodParameter { get; }
37    ILookupParameter<DoubleValue> NegativeLogPseudoLikelihoodParameter { get; }
38  }
39}
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