[8416] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16453] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8416] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System.Windows.Forms;
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[8582] | 23 | using HeuristicLab.Data;
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[8416] | 24 | using HeuristicLab.MainForm;
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| 25 | using HeuristicLab.MainForm.WindowsForms;
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[8582] | 26 | using HeuristicLab.Optimization;
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[8416] | 27 |
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| 28 | namespace HeuristicLab.Algorithms.DataAnalysis.Views {
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| 29 | [View("Gaussian Process Model")]
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| 30 | [Content(typeof(IGaussianProcessModel), true)]
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| 31 | public partial class GaussianProcessModelView : AsynchronousContentView {
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| 32 |
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| 33 | public new IGaussianProcessModel Content {
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| 34 | get { return (IGaussianProcessModel)base.Content; }
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[8582] | 35 | set {
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| 36 | base.Content = value;
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| 37 | }
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[8416] | 38 | }
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| 39 |
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| 40 | public GaussianProcessModelView()
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| 41 | : base() {
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| 42 | InitializeComponent();
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| 43 | }
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| 44 |
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| 45 | protected override void OnContentChanged() {
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| 46 | base.OnContentChanged();
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| 47 | if (Content == null) {
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| 48 | // clear
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[8582] | 49 | resultCollectionView.Content = null;
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[8416] | 50 | } else {
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[8582] | 51 | resultCollectionView.Content = CreateResultCollection(Content);
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[8416] | 52 | }
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| 53 | }
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[8582] | 54 |
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| 55 | private ResultCollection CreateResultCollection(IGaussianProcessModel gaussianProcessModel) {
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| 56 | var res = new ResultCollection();
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| 57 | res.Add(new Result("Mean Function", gaussianProcessModel.MeanFunction));
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| 58 | res.Add(new Result("Covariance Function", gaussianProcessModel.CovarianceFunction));
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| 59 | res.Add(new Result("Noise sigma", new DoubleValue(gaussianProcessModel.SigmaNoise)));
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| 60 | return res;
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| 61 | }
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[8416] | 62 | }
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| 63 | }
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