#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic {
///
/// An operator that analyzes the validation best symbolic trading solution for single objective symbolic trading problems.
///
[Item("Validation-best Solution Analyzer (symbolic trading)", "An operator that analyzes the validation best symbolic trading solution for single objective symbolic trading problems.")]
[StorableClass]
public sealed class ValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer {
[StorableConstructor]
private ValidationBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
private ValidationBestSolutionAnalyzer(ValidationBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
public ValidationBestSolutionAnalyzer()
: base() {
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ValidationBestSolutionAnalyzer(this, cloner);
}
protected override ISolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) {
var model = new Model((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue);
return new SymbolicSolution(model, (IProblemData)ProblemDataParameter.ActualValue.Clone());
}
}
}