source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Trading/3.4/Symbolic/Solution.cs @ 12012

Last change on this file since 12012 was 12012, checked in by ascheibe, 5 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 3.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Data;
25using HeuristicLab.Optimization;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HeuristicLab.Problems.DataAnalysis.Symbolic;
28
29namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic {
30  /// <summary>
31  /// Represents a symbolic trading solution (model + data) and attributes of the solution like accuracy and complexity
32  /// </summary>
33  [StorableClass]
34  [Item(Name = "Solution (symbolic trading)",
35    Description =
36      "Represents a symbolic trading solution (model + data) and attributes of the solution like accuracy and complexity."
37    )]
38  public sealed class SymbolicSolution : Solution, ISolution {
39    private const string ModelLengthResultName = "Model Length";
40    private const string ModelDepthResultName = "Model Depth";
41
42    public new IModel Model {
43      get { return (IModel)base.Model; }
44      set { base.Model = value; }
45    }
46
47    ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
48      get { return (ISymbolicDataAnalysisModel)base.Model; }
49    }
50
51    public int ModelLength {
52      get { return ((IntValue)this[ModelLengthResultName].Value).Value; }
53      private set { ((IntValue)this[ModelLengthResultName].Value).Value = value; }
54    }
55
56    public int ModelDepth {
57      get { return ((IntValue)this[ModelDepthResultName].Value).Value; }
58      private set { ((IntValue)this[ModelDepthResultName].Value).Value = value; }
59    }
60
61    [StorableConstructor]
62    private SymbolicSolution(bool deserializing)
63      : base(deserializing) {
64    }
65
66    private SymbolicSolution(SymbolicSolution original, Cloner cloner)
67      : base(original, cloner) {
68    }
69
70    public SymbolicSolution(IModel model, IProblemData problemData)
71      : base(model, problemData) {
72      Add(new Result(ModelLengthResultName, "Length of the symbolic trading model.", new IntValue()));
73      Add(new Result(ModelDepthResultName, "Depth of the symbolic trading model.", new IntValue()));
74      RecalculateResults();
75    }
76
77    public override IDeepCloneable Clone(Cloner cloner) {
78      return new SymbolicSolution(this, cloner);
79    }
80
81    protected override void OnModelChanged() {
82      base.OnModelChanged();
83      RecalculateResults();
84    }
85
86    protected override void RecalculateResults() {
87      base.RecalculateResults();
88      CalculateResults();
89    }
90
91    private void CalculateResults() {
92      ModelLength = Model.SymbolicExpressionTree.Length;
93      ModelDepth = Model.SymbolicExpressionTree.Depth;
94    }
95  }
96}
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