1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2018 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 HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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27 | using HeuristicLab.Random;
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28 |
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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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30 | [StorableClass]
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31 | public sealed class VariableConditionTreeNode : SymbolicExpressionTreeNode, IVariableTreeNode {
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32 | #region properties
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33 | public new VariableCondition Symbol {
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34 | get { return (VariableCondition)base.Symbol; }
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35 | }
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36 | [Storable]
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37 | private double threshold;
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38 | public double Threshold {
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39 | get { return threshold; }
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40 | set { threshold = value; }
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41 | }
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42 | [Storable]
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43 | private string variableName;
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44 | public string VariableName {
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45 | get { return variableName; }
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46 | set { variableName = value; }
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47 | }
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48 | [Storable]
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49 | private double slope;
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50 | public double Slope {
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51 | get { return slope; }
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52 | set { slope = value; }
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53 | }
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54 | #endregion
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55 |
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56 | [StorableConstructor]
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57 | private VariableConditionTreeNode(bool deserializing) : base(deserializing) { }
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58 | private VariableConditionTreeNode(VariableConditionTreeNode original, Cloner cloner)
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59 | : base(original, cloner) {
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60 | threshold = original.threshold;
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61 | variableName = original.variableName;
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62 | slope = original.slope;
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63 | }
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64 | public override IDeepCloneable Clone(Cloner cloner) {
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65 | return new VariableConditionTreeNode(this, cloner);
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66 | }
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67 |
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68 | public VariableConditionTreeNode(VariableCondition variableConditionSymbol) : base(variableConditionSymbol) { }
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69 | public override bool HasLocalParameters {
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70 | get { return true; }
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71 | }
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72 |
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73 | public override void ResetLocalParameters(IRandom random) {
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74 | base.ResetLocalParameters(random);
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75 | threshold = NormalDistributedRandom.NextDouble(random, Symbol.ThresholdInitializerMu, Symbol.ThresholdInitializerSigma);
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76 |
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77 | #pragma warning disable 612, 618
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78 | variableName = Symbol.VariableNames.SelectRandom(random);
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79 | #pragma warning restore 612, 618
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80 |
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81 | slope = NormalDistributedRandom.NextDouble(random, Symbol.SlopeInitializerMu, Symbol.SlopeInitializerSigma);
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82 | }
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83 |
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84 | public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
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85 | base.ShakeLocalParameters(random, shakingFactor);
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86 | double x = NormalDistributedRandom.NextDouble(random, Symbol.ThresholdManipulatorMu, Symbol.ThresholdManipulatorSigma);
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87 | threshold = threshold + x * shakingFactor;
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88 |
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89 | #pragma warning disable 612, 618
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90 | variableName = Symbol.VariableNames.SelectRandom(random);
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91 | #pragma warning restore 612, 618
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92 |
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93 | x = NormalDistributedRandom.NextDouble(random, Symbol.SlopeManipulatorMu, Symbol.SlopeManipulatorSigma);
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94 | slope = slope + x * shakingFactor;
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95 | }
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96 |
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97 | public override string ToString() {
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98 | if (slope.IsAlmost(0.0) || Symbol.IgnoreSlope) {
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99 | return variableName + " < " + threshold.ToString("E4");
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100 | } else {
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101 | return variableName + " > " + threshold.ToString("E4") + Environment.NewLine +
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102 | "slope: " + slope.ToString("E4");
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103 | }
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104 | }
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105 | }
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106 | }
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