[1050] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Core;
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[2222] | 23 | using HeuristicLab.Modeling;
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[1287] | 24 | using HeuristicLab.Operators;
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[2341] | 25 | using System;
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[1050] | 26 |
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[1245] | 27 | namespace HeuristicLab.GP.StructureIdentification.Classification {
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[2361] | 28 | public class StandardGPClassification : HeuristicLab.GP.StructureIdentification.StandardGPRegression, IClassificationAlgorithm {
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[2356] | 29 | public override string Name {
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| 30 | get {
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| 31 | return base.Name + " - Classification";
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| 32 | }
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| 33 | }
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| 34 |
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[2344] | 35 | protected override IOperator CreateProblemInjector() {
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[2356] | 36 | return DefaultClassificationOperators.CreateProblemInjector();
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[2344] | 37 | }
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[2356] | 38 |
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| 39 | protected override IOperator CreateModelAnalyzerOperator() {
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| 40 | return DefaultClassificationOperators.CreatePostProcessingOperator();
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[1287] | 41 | }
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[2344] | 42 |
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| 43 | protected override IAnalyzerModel CreateGPModel() {
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[2356] | 44 | var model = new AnalyzerModel();
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| 45 | var bestModelScope = Engine.GlobalScope.SubScopes[0];
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| 46 | DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
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| 47 | DefaultClassificationOperators.PopulateAnalyzerModel(bestModelScope, model);
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[2344] | 48 | return model;
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| 49 | }
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[1050] | 50 | }
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| 51 | }
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[2319] | 52 |
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