#region License Information /* HeuristicLab * Copyright (C) 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.Parameters; using HEAL.Attic; using HeuristicLab.Problems.DataAnalysis.Symbolic; namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic { /// /// An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems. /// [Item("Training-best Solution Analyzer (symbolic trading)", "An operator that analyzes the training best symbolic trading solution for single objective symbolic trading problems.")] [StorableType("001D440F-F70F-4798-BEA9-53AAB8D33E94")] public sealed class TrainingBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionAnalyzer, ISymbolicDataAnalysisInterpreterOperator { private const string ProblemDataParameterName = "ProblemData"; private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter"; #region parameter properties public ILookupParameter ProblemDataParameter { get { return (ILookupParameter)Parameters[ProblemDataParameterName]; } } public ILookupParameter SymbolicDataAnalysisTreeInterpreterParameter { get { return (ILookupParameter)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; } } #endregion [StorableConstructor] private TrainingBestSolutionAnalyzer(StorableConstructorFlag _) : base(_) { } private TrainingBestSolutionAnalyzer(TrainingBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { } public TrainingBestSolutionAnalyzer() : base() { Parameters.Add(new LookupParameter(ProblemDataParameterName, "The problem data for the symbolic regression solution.")); Parameters.Add(new LookupParameter(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree.")); } public override IDeepCloneable Clone(Cloner cloner) { return new TrainingBestSolutionAnalyzer(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()); } } }