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source: branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs @ 7835

Last change on this file since 7835 was 6760, checked in by epitzer, 13 years ago

#1530 integrate changes from trunk

File size: 3.3 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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;
27
28namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
29  /// <summary>
30  /// Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity
31  /// </summary>
32  [StorableClass]
33  [Item(Name = "SymbolicRegressionSolution", Description = "Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity.")]
34  public sealed class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {
35    private const string ModelLengthResultName = "Model Length";
36    private const string ModelDepthResultName = "Model Depth";
37
38    public new ISymbolicRegressionModel Model {
39      get { return (ISymbolicRegressionModel)base.Model; }
40      set { base.Model = value; }
41    }
42    ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
43      get { return (ISymbolicDataAnalysisModel)base.Model; }
44    }
45    public int ModelLength {
46      get { return ((IntValue)this[ModelLengthResultName].Value).Value; }
47      private set { ((IntValue)this[ModelLengthResultName].Value).Value = value; }
48    }
49
50    public int ModelDepth {
51      get { return ((IntValue)this[ModelDepthResultName].Value).Value; }
52      private set { ((IntValue)this[ModelDepthResultName].Value).Value = value; }
53    }
54
55    [StorableConstructor]
56    private SymbolicRegressionSolution(bool deserializing) : base(deserializing) { }
57    private SymbolicRegressionSolution(SymbolicRegressionSolution original, Cloner cloner)
58      : base(original, cloner) {
59    }
60    public SymbolicRegressionSolution(ISymbolicRegressionModel model, IRegressionProblemData problemData)
61      : base(model, problemData) {
62      Add(new Result(ModelLengthResultName, "Length of the symbolic regression model.", new IntValue()));
63      Add(new Result(ModelDepthResultName, "Depth of the symbolic regression model.", new IntValue()));
64      RecalculateResults();
65    }
66
67    public override IDeepCloneable Clone(Cloner cloner) {
68      return new SymbolicRegressionSolution(this, cloner);
69    }
70
71    protected override void RecalculateResults() {
72      base.RecalculateResults();
73      ModelLength = Model.SymbolicExpressionTree.Length;
74      ModelDepth = Model.SymbolicExpressionTree.Depth;
75    }
76  }
77}
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