[3841] | 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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| 22 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Random;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 | using HeuristicLab.Parameters;
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| 30 | using System.Collections.Generic;
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| 31 | using System;
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| 32 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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| 33 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
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| 34 | [StorableClass]
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| 35 | [Item("LaggedVariable", "Represents a variable value with a time offset.")]
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[4022] | 36 | public sealed class LaggedVariable : Variable {
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| 37 | //#region Properties
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| 38 | //[Storable]
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| 39 | //private double weightNu;
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| 40 | //public double WeightNu {
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| 41 | // get { return weightNu; }
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| 42 | // set { weightNu = value; }
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| 43 | //}
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| 44 | //[Storable]
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| 45 | //private double weightSigma;
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| 46 | //public double WeightSigma {
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| 47 | // get { return weightSigma; }
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| 48 | // set {
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| 49 | // if (weightSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 50 | // weightSigma = value;
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| 51 | // }
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| 52 | //}
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| 53 | //[Storable]
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| 54 | //private double weightManipulatorNu;
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| 55 | //public double WeightManipulatorNu {
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| 56 | // get { return weightManipulatorNu; }
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| 57 | // set { weightManipulatorNu = value; }
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| 58 | //}
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| 59 | //[Storable]
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| 60 | //private double weightManipulatorSigma;
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| 61 | //public double WeightManipulatorSigma {
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| 62 | // get { return weightManipulatorSigma; }
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| 63 | // set {
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| 64 | // if (weightManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
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| 65 | // weightManipulatorSigma = value;
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| 66 | // }
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| 67 | //}
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| 68 | //private List<string> variableNames;
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| 69 | //[Storable]
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| 70 | //public IEnumerable<string> VariableNames {
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| 71 | // get { return variableNames; }
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| 72 | // set {
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| 73 | // if (value == null) throw new ArgumentNullException();
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| 74 | // variableNames.Clear();
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| 75 | // variableNames.AddRange(value);
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| 76 | // }
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| 77 | //}
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[3841] | 78 | [Storable]
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| 79 | private int minLag;
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| 80 | public int MinLag {
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| 81 | get { return minLag; }
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| 82 | set { minLag = value; }
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| 83 | }
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| 84 | [Storable]
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| 85 | private int maxLag;
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| 86 | public int MaxLag {
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| 87 | get { return maxLag; }
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| 88 | set { maxLag = value; }
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| 89 | }
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[4022] | 90 | //#endregion
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[3841] | 91 | public LaggedVariable()
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[3993] | 92 | : base("LaggedVariable", "Represents a variable value with a time offset.") {
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[4022] | 93 | //weightNu = 1.0;
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| 94 | //weightSigma = 1.0;
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| 95 | //weightManipulatorNu = 0.0;
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| 96 | //weightManipulatorSigma = 1.0;
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| 97 | //variableNames = new List<string>();
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| 98 | minLag = -1; maxLag = -1;
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[3841] | 99 | }
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| 100 |
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| 101 | public override SymbolicExpressionTreeNode CreateTreeNode() {
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| 102 | return new LaggedVariableTreeNode(this);
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| 103 | }
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| 104 |
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| 105 | public override IDeepCloneable Clone(Cloner cloner) {
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| 106 | LaggedVariable clone = (LaggedVariable)base.Clone(cloner);
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[4022] | 107 | //clone.weightNu = weightNu;
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| 108 | //clone.weightSigma = weightSigma;
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| 109 | //clone.variableNames = new List<string>(variableNames);
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| 110 | //clone.weightManipulatorNu = weightManipulatorNu;
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| 111 | //clone.weightManipulatorSigma = weightManipulatorSigma;
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[3841] | 112 | clone.minLag = minLag;
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| 113 | clone.maxLag = maxLag;
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| 114 | return clone;
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| 115 | }
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| 116 | }
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| 117 | }
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