#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 System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence; using System.Collections.Generic; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; namespace HeuristicLab.Problems.DataAnalysis.Symbolic { [StorableType("dca2ce4a-a10d-4291-ad6c-927256e459b0")] public abstract class SymbolicDataAnalysisSingleObjectiveEvaluator : SymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator where T : class, IDataAnalysisProblemData { private const string QualityParameterName = "Quality"; #region parameter properties public ILookupParameter QualityParameter { get { return (ILookupParameter)Parameters[QualityParameterName]; } } #endregion #region properties public abstract bool Maximization { get; } #endregion [StorableConstructor] protected SymbolicDataAnalysisSingleObjectiveEvaluator(StorableConstructorFlag deserializing) : base(deserializing) { } protected SymbolicDataAnalysisSingleObjectiveEvaluator(SymbolicDataAnalysisSingleObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { } protected SymbolicDataAnalysisSingleObjectiveEvaluator() : base() { Parameters.Add(new LookupParameter(QualityParameterName, "The quality of the evaluated symbolic data analysis solution.")); } public abstract double Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, T problemData, IEnumerable rows); } }