source: branches/symbreg-factors-2650/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Symbols/FactorVariableTreeNode.cs @ 14237

Last change on this file since 14237 was 14237, checked in by gkronber, 3 years ago

#2650: work in progress..

File size: 3.1 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.Encodings.SymbolicExpressionTreeEncoding;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Random;
27namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
28  [StorableClass]
29  public class FactorVariableTreeNode : VariableTreeNodeBase {
30    public new FactorVariable Symbol {
31      get { return (FactorVariable)base.Symbol; }
32    }
33
34    [Storable]
35    private string variableValue;
36    public string VariableValue {
37      get { return variableValue; }
38      set { variableValue = value; }
39    }
40
41    [StorableConstructor]
42    protected FactorVariableTreeNode(bool deserializing) : base(deserializing) { }
43    protected FactorVariableTreeNode(FactorVariableTreeNode original, Cloner cloner)
44      : base(original, cloner) {
45      variableValue = original.variableValue;
46    }
47    protected FactorVariableTreeNode() { }
48    public FactorVariableTreeNode(FactorVariable variableSymbol) : base(variableSymbol) { }
49
50    public override bool HasLocalParameters {
51      get { return true; }
52    }
53
54    public override void ResetLocalParameters(IRandom random) {
55      base.ResetLocalParameters(random);
56      variableValue = Symbol.GetVariableValues(VariableName).SampleRandom(random);
57    }
58
59    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
60      // 50% additive & 50% multiplicative
61      if (random.NextDouble() < 0.5) {
62        double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
63        Weight = Weight + x * shakingFactor;
64      } else {
65        double x = NormalDistributedRandom.NextDouble(random, 1.0, Symbol.MultiplicativeWeightManipulatorSigma);
66        Weight = Weight * x;
67      }
68      if (random.NextDouble() < 0.2) {
69        VariableName = Symbol.VariableNames.SampleRandom(random);
70      }
71      variableValue = Symbol.GetVariableValues(VariableName).SampleRandom(random);
72    }
73
74    public override IDeepCloneable Clone(Cloner cloner) {
75      return new FactorVariableTreeNode(this, cloner);
76    }
77
78    public override string ToString() {
79      return base.ToString() + " = " + variableValue;
80    }
81  }
82}
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