| 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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| 23 | using HeuristicLab.DataAnalysis;
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| 24 | using HeuristicLab.GP.Interfaces;
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| 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Modeling;
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| 27 | using HeuristicLab.Data;
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| 28 |
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| 29 | namespace HeuristicLab.GP.StructureIdentification.Classification {
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| 30 | internal static class DefaultClassificationAlgorithmOperators {
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| 31 | internal static IOperator CreatePostProcessingOperator() {
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| 32 | SequentialProcessor seq = new SequentialProcessor();
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| 33 | seq.AddSubOperator(DefaultStructureIdentificationAlgorithmOperators.CreatePostProcessingOperator());
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| 34 |
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| 35 | UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor();
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| 36 | SequentialProcessor individualProc = new SequentialProcessor();
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| 37 | subScopesProc.AddSubOperator(individualProc);
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| 38 | seq.AddSubOperator(subScopesProc);
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| 39 | AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator();
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| 40 | trainingAccuracy.Name = "TrainingAccuracyEvaluator";
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| 41 | trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy";
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| 42 | trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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| 43 | trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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| 44 |
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| 45 | AccuracyEvaluator validationAccuracy = new AccuracyEvaluator();
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| 46 | validationAccuracy.Name = "ValidationAccuracyEvaluator";
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| 47 | validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy";
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| 48 | validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 49 | validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 50 |
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| 51 | AccuracyEvaluator testAccuracy = new AccuracyEvaluator();
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| 52 | testAccuracy.Name = "TestAccuracyEvaluator";
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| 53 | testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy";
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| 54 | testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 55 | testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 56 |
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| 57 | ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator();
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| 58 | trainingConfusionMatrix.Name = "TrainingConfusionMatrixEvaluator";
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| 59 | trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix";
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| 60 | trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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| 61 | trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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| 62 |
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| 63 | ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator();
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| 64 | validationConfusionMatrix.Name = "ValidationConfusionMatrixEvaluator";
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| 65 | validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix";
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| 66 | validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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| 67 | validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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| 68 |
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| 69 | ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator();
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| 70 | testConfusionMatrix.Name = "TestConfusionMatrixEvaluator";
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| 71 | testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix";
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| 72 | testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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| 73 | testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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| 74 |
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| 75 | individualProc.AddSubOperator(trainingAccuracy);
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| 76 | individualProc.AddSubOperator(validationAccuracy);
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| 77 | individualProc.AddSubOperator(testAccuracy);
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| 78 | individualProc.AddSubOperator(trainingConfusionMatrix);
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| 79 | individualProc.AddSubOperator(validationConfusionMatrix);
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| 80 | individualProc.AddSubOperator(testConfusionMatrix);
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| 81 | return seq;
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| 82 | }
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| 83 |
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| 84 | internal static IOperator CreateProblemInjector() {
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| 85 | CombinedOperator op = new CombinedOperator();
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| 86 | op.Name = "ProblemInjector";
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| 87 | SequentialProcessor seq = new SequentialProcessor();
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| 88 | seq.AddSubOperator(new ProblemInjector());
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| 89 | seq.AddSubOperator(new TargetClassesCalculator());
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| 90 | op.OperatorGraph.AddOperator(seq);
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| 91 | op.OperatorGraph.InitialOperator = seq;
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| 92 | return op;
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| 93 | }
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| 94 | }
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| 95 | }
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