1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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;
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23 | using System.Collections.Generic;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Algorithms.DataAnalysis {
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30 | [StorableClass]
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31 | // base class for covariance functions
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32 | public abstract class CovarianceFunction : ParameterizedNamedItem, ICovarianceFunction {
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33 | [StorableConstructor]
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34 | protected CovarianceFunction(bool deserializing)
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35 | : base(deserializing) {
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36 | }
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37 |
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38 | protected CovarianceFunction(CovarianceFunction original, Cloner cloner)
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39 | : base(original, cloner) {
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40 | }
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41 |
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42 | protected CovarianceFunction()
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43 | : base() {
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44 | Name = ItemName;
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45 | Description = ItemDescription;
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46 | }
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47 |
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48 | protected void SetNullableDoubleParameter(IValueParameter<DoubleValue> parameter, double? value) {
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49 | if (value.HasValue) {
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50 | parameter.Value = new DoubleValue(value.Value);
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51 | } else {
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52 | parameter.Value = null;
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53 | }
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54 | }
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55 |
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56 | protected double? GetNullableDoubleParameter(IValueParameter<DoubleValue> parameter) {
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57 | return parameter.Value == null ? (double?)null : parameter.Value.Value;
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58 | }
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59 |
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60 | protected void AttachValueChangeHandler<T, U>(IValueParameter<T> parameter, Action action)
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61 | where T : ValueTypeValue<U>
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62 | where U : struct {
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63 | parameter.ValueChanged += (sender, args) => {
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64 | if (parameter.Value != null) {
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65 | parameter.Value.ValueChanged += (s, a) => action();
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66 | action();
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67 | }
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68 | };
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69 | if (parameter.Value != null) {
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70 | parameter.Value.ValueChanged += (s, a) => action();
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71 | }
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72 | }
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73 |
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74 | protected void AttachArrayChangeHandler<T, U>(IValueParameter<T> parameter, Action action)
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75 | where T : ValueTypeArray<U>
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76 | where U : struct {
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77 | parameter.ValueChanged += (sender, args) => {
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78 | if (parameter.Value != null) {
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79 | parameter.Value.ItemChanged += (s, a) => action();
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80 | parameter.Value.Reset += (s, a) => action();
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81 | action();
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82 | }
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83 | };
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84 | if (parameter.Value != null) {
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85 | parameter.Value.ItemChanged += (s, a) => action();
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86 | parameter.Value.Reset += (s, a) => action();
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87 | }
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88 |
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89 | }
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90 |
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91 | public abstract int GetNumberOfParameters(int numberOfVariables);
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92 | public abstract void SetParameter(double[] hyp);
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93 | public abstract double GetCovariance(double[,] x, int i, int j);
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94 | public abstract IEnumerable<double> GetGradient(double[,] x, int i, int j);
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95 | public abstract double GetCrossCovariance(double[,] x, double[,] xt, int i, int j);
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96 |
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97 | }
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98 | }
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