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source: stable/HeuristicLab.Problems.DataAnalysis.Trading/3.4/Symbolic/SingleObjective/TrainingBestSolutionAnalyzer.cs @ 10188

Last change on this file since 10188 was 10020, checked in by gkronber, 11 years ago

#1508: merged r9804:9805,r9808:9809,r9811:9812,r9822,r9824:9825,r9897,r9928,r9938:9941,r9964:9965,r9989,r9991:9992,r9995,r9997,r10004:10015 from trunk into stable branch.

File size: 3.5 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HeuristicLab.Problems.DataAnalysis.Symbolic;
28
29namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic {
30  /// <summary>
31  /// An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems.
32  /// </summary>
33  [Item("Training-best Solution Analyzer (symbolic trading)", "An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems.")]
34  [StorableClass]
35  public sealed class TrainingBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionAnalyzer<ISolution>,
36  ISymbolicDataAnalysisInterpreterOperator {
37    private const string ProblemDataParameterName = "ProblemData";
38    private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
39    #region parameter properties
40    public ILookupParameter<IProblemData> ProblemDataParameter {
41      get { return (ILookupParameter<IProblemData>)Parameters[ProblemDataParameterName]; }
42    }
43    public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
44      get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
45    }
46    #endregion
47
48    [StorableConstructor]
49    private TrainingBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
50    private TrainingBestSolutionAnalyzer(TrainingBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
51    public TrainingBestSolutionAnalyzer()
52      : base() {
53      Parameters.Add(new LookupParameter<IProblemData>(ProblemDataParameterName, "The problem data for the symbolic regression solution."));
54      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));
55    }
56    public override IDeepCloneable Clone(Cloner cloner) {
57      return new TrainingBestSolutionAnalyzer(this, cloner);
58    }
59
60    protected override ISolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) {
61      var model = new Model((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue);
62      return new SymbolicSolution(model, (IProblemData)ProblemDataParameter.ActualValue.Clone());
63    }
64  }
65}
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