[3253] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 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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[4068] | 22 | using System;
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| 23 | using System.Collections.Generic;
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[3376] | 24 | using HeuristicLab.Common;
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[3269] | 25 | using HeuristicLab.Core;
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[4068] | 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 27 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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[3269] | 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[3373] | 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
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[3269] | 30 | [StorableClass]
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| 31 | [Item("Variable", "Represents a variable value.")]
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[4022] | 32 | public class Variable : Symbol {
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[3269] | 33 | #region Properties
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[3485] | 34 | [Storable]
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[3294] | 35 | private double weightNu;
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| 36 | public double WeightNu {
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| 37 | get { return weightNu; }
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[3824] | 38 | set {
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| 39 | if (value != weightNu) {
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| 40 | weightNu = value;
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| 41 | OnChanged(EventArgs.Empty);
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| 42 | }
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| 43 | }
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[3269] | 44 | }
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[3485] | 45 | [Storable]
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[3294] | 46 | private double weightSigma;
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| 47 | public double WeightSigma {
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| 48 | get { return weightSigma; }
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| 49 | set {
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| 50 | if (weightSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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[3824] | 51 | if (value != weightSigma) {
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| 52 | weightSigma = value;
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| 53 | OnChanged(EventArgs.Empty);
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| 54 | }
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[3294] | 55 | }
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[3269] | 56 | }
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[3485] | 57 | [Storable]
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[3512] | 58 | private double weightManipulatorNu;
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| 59 | public double WeightManipulatorNu {
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| 60 | get { return weightManipulatorNu; }
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[3824] | 61 | set {
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| 62 | if (value != weightManipulatorNu) {
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| 63 | weightManipulatorNu = value;
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| 64 | OnChanged(EventArgs.Empty);
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| 65 | }
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| 66 | }
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[3512] | 67 | }
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| 68 | [Storable]
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| 69 | private double weightManipulatorSigma;
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| 70 | public double WeightManipulatorSigma {
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| 71 | get { return weightManipulatorSigma; }
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| 72 | set {
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| 73 | if (weightManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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[3824] | 74 | if (value != weightManipulatorSigma) {
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| 75 | weightManipulatorSigma = value;
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| 76 | OnChanged(EventArgs.Empty);
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| 77 | }
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[3512] | 78 | }
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| 79 | }
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[3541] | 80 | private List<string> variableNames;
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[3512] | 81 | [Storable]
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[3442] | 82 | public IEnumerable<string> VariableNames {
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[3294] | 83 | get { return variableNames; }
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| 84 | set {
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| 85 | if (value == null) throw new ArgumentNullException();
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| 86 | variableNames.Clear();
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| 87 | variableNames.AddRange(value);
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[3824] | 88 | OnChanged(EventArgs.Empty);
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[3294] | 89 | }
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[3269] | 90 | }
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| 91 | #endregion
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[4722] | 92 | [StorableConstructor]
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| 93 | protected Variable(bool deserializing) : base(deserializing) {
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| 94 | variableNames = new List<string>();
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| 95 | }
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| 96 | protected Variable(Variable original, Cloner cloner)
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| 97 | : base(original, cloner) {
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| 98 | weightNu = original.weightNu;
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| 99 | weightSigma = original.weightSigma;
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| 100 | variableNames = new List<string>(original.variableNames);
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| 101 | weightManipulatorNu = original.weightManipulatorNu;
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| 102 | weightManipulatorSigma = original.weightManipulatorSigma;
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| 103 | }
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[4022] | 104 | public Variable() : this("Variable", "Represents a variable value.") { }
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| 105 | public Variable(string name, string description)
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| 106 | : base(name, description) {
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[3294] | 107 | weightNu = 1.0;
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| 108 | weightSigma = 1.0;
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[3512] | 109 | weightManipulatorNu = 0.0;
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| 110 | weightManipulatorSigma = 1.0;
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[3294] | 111 | variableNames = new List<string>();
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[3269] | 112 | }
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| 113 |
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[3253] | 114 | public override SymbolicExpressionTreeNode CreateTreeNode() {
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| 115 | return new VariableTreeNode(this);
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| 116 | }
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[3485] | 117 |
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| 118 | public override IDeepCloneable Clone(Cloner cloner) {
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[4722] | 119 | return new Variable(this, cloner);
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[3485] | 120 | }
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[3253] | 121 | }
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| 122 | }
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