#region License Information
/* HeuristicLab
* Copyright (C) 2002-2008 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.Core;
using HeuristicLab.Modeling;
using HeuristicLab.Operators;
using HeuristicLab.Data;
namespace HeuristicLab.GP.StructureIdentification.Classification {
public class OffspringSelectionGPClassification : HeuristicLab.GP.StructureIdentification.OffspringSelectionGPRegression, IClassificationAlgorithm {
public override string Name {
get {
return base.Name + " - Classification";
}
}
protected override IOperator CreateProblemInjector() {
return DefaultClassificationOperators.CreateProblemInjector();
}
protected override IOperator CreateModelAnalyzerOperator() {
return DefaultClassificationOperators.CreatePostProcessingOperator();
}
protected override IAnalyzerModel CreateGPModel() {
IScope bestModelScope = Engine.GlobalScope.SubScopes[0];
var model = new AnalyzerModel();
model.SetMetaData("SelectionPressure", bestModelScope.GetVariableValue("SelectionPressure", false).Data);
DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
DefaultClassificationOperators.PopulateAnalyzerModel(bestModelScope, model);
return model;
}
}
}