1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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.Linq;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Parameters;
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27 | using HEAL.Attic;
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28 |
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29 | namespace HeuristicLab.Algorithms.DataAnalysis {
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30 | [StorableType("21D5F261-B9DF-4DC4-AF42-7B223C45840F")]
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31 | [Item(Name = "CovarianceMask",
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32 | Description = "Masking covariance function for dimension selection can be used to apply a covariance function only on certain input dimensions.")]
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33 | public sealed class CovarianceMask : ParameterizedNamedItem, ICovarianceFunction {
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34 | public IValueParameter<IntArray> SelectedDimensionsParameter {
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35 | get { return (IValueParameter<IntArray>)Parameters["SelectedDimensions"]; }
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36 | }
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37 | public IValueParameter<ICovarianceFunction> CovarianceFunctionParameter {
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38 | get { return (IValueParameter<ICovarianceFunction>)Parameters["CovarianceFunction"]; }
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39 | }
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40 |
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41 | [StorableConstructor]
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42 | private CovarianceMask(StorableConstructorFlag _) : base(_) {
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43 | }
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44 |
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45 | private CovarianceMask(CovarianceMask original, Cloner cloner)
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46 | : base(original, cloner) {
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47 | }
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48 |
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49 | public CovarianceMask()
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50 | : base() {
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51 | Name = ItemName;
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52 | Description = ItemDescription;
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53 |
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54 | Parameters.Add(new OptionalValueParameter<IntArray>("SelectedDimensions", "The dimensions on which the specified covariance function should be applied to."));
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55 | Parameters.Add(new ValueParameter<ICovarianceFunction>("CovarianceFunction", "The covariance function that should be scaled.", new CovarianceSquaredExponentialIso()));
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56 | }
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57 |
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58 | public override IDeepCloneable Clone(Cloner cloner) {
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59 | return new CovarianceMask(this, cloner);
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60 | }
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61 |
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62 | public int GetNumberOfParameters(int numberOfVariables) {
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63 | if (SelectedDimensionsParameter.Value == null) return CovarianceFunctionParameter.Value.GetNumberOfParameters(numberOfVariables);
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64 | else return CovarianceFunctionParameter.Value.GetNumberOfParameters(SelectedDimensionsParameter.Value.Length);
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65 | }
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66 |
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67 | public void SetParameter(double[] p) {
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68 | CovarianceFunctionParameter.Value.SetParameter(p);
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69 | }
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70 |
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71 | public ParameterizedCovarianceFunction GetParameterizedCovarianceFunction(double[] p, int[] columnIndices) {
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72 | var cov = CovarianceFunctionParameter.Value;
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73 | var selectedDimensions = SelectedDimensionsParameter.Value;
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74 |
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75 | return cov.GetParameterizedCovarianceFunction(p, selectedDimensions.Intersect(columnIndices).ToArray());
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76 | }
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77 | }
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78 | }
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