source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/LaggedVariableTreeNode.cs @ 4022

Last change on this file since 4022 was 4022, checked in by gkronber, 11 years ago

Worked on symbolic regression classes to prepare for time series prognosis plugin. #1081

File size: 2.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
23using System;
24using System.Collections.Generic;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Random;
30namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
31  [StorableClass]
32  public sealed class LaggedVariableTreeNode : VariableTreeNode {
33    public new LaggedVariable Symbol {
34      get { return (LaggedVariable)base.Symbol; }
35    }
36    [Storable]
37    private int lag;
38    public int Lag {
39      get { return lag; }
40      set { lag = value; }
41    }
42
43    private LaggedVariableTreeNode() { }
44
45    // copy constructor
46    private LaggedVariableTreeNode(LaggedVariableTreeNode original)
47      : base(original) {
48      lag = original.lag;
49    }
50
51    public LaggedVariableTreeNode(LaggedVariable variableSymbol) : base(variableSymbol) { }
52
53    public override bool HasLocalParameters {
54      get {
55        return true;
56      }
57    }
58
59    public override void ResetLocalParameters(IRandom random) {
60      base.ResetLocalParameters(random);
61      lag = random.Next(Symbol.MinLag, Symbol.MaxLag + 1);
62    }
63
64    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
65      base.ShakeLocalParameters(random, shakingFactor);
66      lag = Math.Min(Symbol.MaxLag, Math.Max(Symbol.MinLag, lag + random.Next(-1, 2)));
67    }
68
69
70    public override object Clone() {
71      return new LaggedVariableTreeNode(this);
72    }
73
74    public override string ToString() {
75      return base.ToString() +
76        " (t" + (lag > 0 ? "+" : "") + lag + ")";
77    }
78  }
79}
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