source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/VariableTreeNode.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: 2.9 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 class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
33    public new Variable Symbol {
34      get { return (Variable)base.Symbol; }
35    }
36    [Storable]
37    private double weight;
38    public double Weight {
39      get { return weight; }
40      set { weight = value; }
41    }
42    [Storable]
43    private string variableName;
44    public string VariableName {
45      get { return variableName; }
46      set { variableName = value; }
47    }
48
49
50    protected VariableTreeNode() { }
51
52    // copy constructor
53    protected VariableTreeNode(VariableTreeNode original)
54      : base(original) {
55      weight = original.weight;
56      variableName = original.variableName;
57    }
58
59    public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
60
61    public override bool HasLocalParameters {
62      get {
63        return true;
64      }
65    }
66
67    public override void ResetLocalParameters(IRandom random) {
68      base.ResetLocalParameters(random);
69      weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightNu, Symbol.WeightSigma);
70      variableName = Symbol.VariableNames.SelectRandom(random);
71    }
72
73    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
74      base.ShakeLocalParameters(random, shakingFactor);
75      double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorNu, Symbol.WeightManipulatorSigma);
76      weight = weight + x * shakingFactor;
77      variableName = Symbol.VariableNames.SelectRandom(random);
78    }
79
80
81    public override object Clone() {
82      return new VariableTreeNode(this);
83    }
84
85    public override string ToString() {
86      return weight.ToString("E4") + " " + variableName;
87    }
88  }
89}
Note: See TracBrowser for help on using the repository browser.