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source: branches/2994-AutoDiffForIntervals/HeuristicLab.Problems.DataAnalysis.Trading/3.4/Symbolic/SingleObjective/TrainingBestSolutionAnalyzer.cs @ 17550

Last change on this file since 17550 was 17209, checked in by gkronber, 5 years ago

#2994: merged r17132:17198 from trunk to branch

File size: 3.5 KB
RevLine 
[6123]1#region License Information
2/* HeuristicLab
[17209]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[6123]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;
[16565]26using HEAL.Attic;
[9822]27using HeuristicLab.Problems.DataAnalysis.Symbolic;
[6123]28
[9822]29namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic {
[6123]30  /// <summary>
31  /// An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems.
32  /// </summary>
[9745]33  [Item("Training-best Solution Analyzer (symbolic trading)", "An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems.")]
[16565]34  [StorableType("001D440F-F70F-4798-BEA9-53AAB8D33E94")]
[9745]35  public sealed class TrainingBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionAnalyzer<ISolution>,
[6123]36  ISymbolicDataAnalysisInterpreterOperator {
37    private const string ProblemDataParameterName = "ProblemData";
38    private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
39    #region parameter properties
[9745]40    public ILookupParameter<IProblemData> ProblemDataParameter {
41      get { return (ILookupParameter<IProblemData>)Parameters[ProblemDataParameterName]; }
[6123]42    }
43    public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
44      get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
45    }
46    #endregion
47
48    [StorableConstructor]
[16565]49    private TrainingBestSolutionAnalyzer(StorableConstructorFlag _) : base(_) { }
[9745]50    private TrainingBestSolutionAnalyzer(TrainingBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
51    public TrainingBestSolutionAnalyzer()
[6123]52      : base() {
[9745]53      Parameters.Add(new LookupParameter<IProblemData>(ProblemDataParameterName, "The problem data for the symbolic regression solution."));
[6123]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) {
[9745]57      return new TrainingBestSolutionAnalyzer(this, cloner);
[6123]58    }
59
[9745]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());
[6123]63    }
64  }
65}
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