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source: branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs @ 7773

Last change on this file since 7773 was 7268, checked in by gkronber, 13 years ago

#1081: merged r7214:7266 from trunk into time series branch.

File size: 3.3 KB
RevLine 
[5607]1#region License Information
2/* HeuristicLab
[7268]3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[5607]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;
[5914]25using HeuristicLab.Optimization;
[5607]26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
[5624]28namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
[5607]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.")]
[5717]34  public sealed class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {
[5975]35    private const string ModelLengthResultName = "Model Length";
36    private const string ModelDepthResultName = "Model Depth";
[5736]37
[5624]38    public new ISymbolicRegressionModel Model {
39      get { return (ISymbolicRegressionModel)base.Model; }
[5717]40      set { base.Model = value; }
[5607]41    }
[5624]42    ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
43      get { return (ISymbolicDataAnalysisModel)base.Model; }
[5607]44    }
[5736]45    public int ModelLength {
46      get { return ((IntValue)this[ModelLengthResultName].Value).Value; }
47      private set { ((IntValue)this[ModelLengthResultName].Value).Value = value; }
48    }
[5607]49
[5736]50    public int ModelDepth {
51      get { return ((IntValue)this[ModelDepthResultName].Value).Value; }
52      private set { ((IntValue)this[ModelDepthResultName].Value).Value = value; }
53    }
54
[5607]55    [StorableConstructor]
[5717]56    private SymbolicRegressionSolution(bool deserializing) : base(deserializing) { }
57    private SymbolicRegressionSolution(SymbolicRegressionSolution original, Cloner cloner)
[5607]58      : base(original, cloner) {
59    }
[5624]60    public SymbolicRegressionSolution(ISymbolicRegressionModel model, IRegressionProblemData problemData)
61      : base(model, problemData) {
[5736]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()));
[6588]64      RecalculateResults();
[5607]65    }
66
67    public override IDeepCloneable Clone(Cloner cloner) {
68      return new SymbolicRegressionSolution(this, cloner);
69    }
[5729]70
[6411]71    protected override void RecalculateResults() {
[6602]72      base.RecalculateResults();
[5736]73      ModelLength = Model.SymbolicExpressionTree.Length;
74      ModelDepth = Model.SymbolicExpressionTree.Depth;
75    }
[5607]76  }
77}
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