source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/BinaryFactorVariableTreeNode.cs @ 14826

Last change on this file since 14826 was 14826, checked in by gkronber, 6 months ago

#2650: merged the factors branch into trunk

File size: 3.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25using HeuristicLab.Random;
26namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
27  [StorableClass]
28  public sealed class BinaryFactorVariableTreeNode : VariableTreeNodeBase {
29    public new BinaryFactorVariable Symbol {
30      get { return (BinaryFactorVariable)base.Symbol; }
31    }
32
33    [Storable]
34    private string variableValue;
35    public string VariableValue {
36      get { return variableValue; }
37      set { variableValue = value; }
38    }
39
40    [StorableConstructor]
41    private BinaryFactorVariableTreeNode(bool deserializing) : base(deserializing) { }
42    private BinaryFactorVariableTreeNode(BinaryFactorVariableTreeNode original, Cloner cloner)
43      : base(original, cloner) {
44      variableValue = original.variableValue;
45    }
46    public BinaryFactorVariableTreeNode(BinaryFactorVariable variableSymbol) : base(variableSymbol) { }
47
48    public override bool HasLocalParameters {
49      get { return true; }
50    }
51
52    public override void ResetLocalParameters(IRandom random) {
53      base.ResetLocalParameters(random);
54      variableValue = Symbol.GetVariableValues(VariableName).SampleRandom(random);
55    }
56
57    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
58      // 50% additive & 50% multiplicative (override of functionality of base class because of a BUG)
59      if (random.NextDouble() < 0.5) {
60        double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
61        Weight = Weight + x * shakingFactor;
62      } else {
63        double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeWeightManipulatorSigma);
64        Weight = Weight * x;
65      }
66      if (random.NextDouble() < Symbol.VariableChangeProbability) {
67        var oldName = VariableName;
68        VariableName = Symbol.VariableNames.SampleRandom(random);
69        // reinitialize weights if variable has changed (similar to FactorVariableTreeNode)
70        if (oldName != VariableName)
71          Weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
72      }
73      variableValue = Symbol.GetVariableValues(VariableName).SampleRandom(random);
74    }
75
76    public override IDeepCloneable Clone(Cloner cloner) {
77      return new BinaryFactorVariableTreeNode(this, cloner);
78    }
79
80    public override string ToString() {
81      return base.ToString() + " = " + variableValue;
82    }
83  }
84}
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