#region License Information
/* HeuristicLab
* Copyright (C) 2002-2014 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.Default.CompositeSerializers.Storable;
using System.Collections.Generic;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
[StorableClass]
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(bool 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);
}
}