1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 System.Collections.Generic;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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26 |
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27 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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28 | [StorableClass]
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29 | [Item("SymbolicClassificationSolutionImpactValuesCalculator", "Calculate symbolic expression tree node impact values for classification problems.")]
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30 | public class SymbolicClassificationSolutionImpactValuesCalculator : SymbolicDataAnalysisSolutionImpactValuesCalculator {
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31 | public SymbolicClassificationSolutionImpactValuesCalculator() { }
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32 | protected SymbolicClassificationSolutionImpactValuesCalculator(SymbolicClassificationSolutionImpactValuesCalculator original, Cloner cloner)
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33 | : base(original, cloner) { }
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34 | public override IDeepCloneable Clone(Cloner cloner) {
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35 | return new SymbolicClassificationSolutionImpactValuesCalculator(this, cloner);
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36 | }
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37 | [StorableConstructor]
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38 | protected SymbolicClassificationSolutionImpactValuesCalculator(bool deserializing) : base(deserializing) { }
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39 |
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40 | protected override double CalculateQualityForImpacts(ISymbolicDataAnalysisModel model, IDataAnalysisProblemData problemData, IEnumerable<int> rows) {
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41 | var classificationModel = (ISymbolicClassificationModel)model;
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42 | var classificationProblemData = (IClassificationProblemData)problemData;
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43 | OnlineCalculatorError errorState;
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44 | var dataset = problemData.Dataset;
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45 | var targetClassValues = dataset.GetDoubleValues(classificationProblemData.TargetVariable, rows);
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46 | var originalClassValues = classificationModel.GetEstimatedClassValues(dataset, rows);
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47 | var qualityForImpactsCalculation = OnlineAccuracyCalculator.Calculate(targetClassValues, originalClassValues, out errorState);
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48 | if (errorState != OnlineCalculatorError.None) qualityForImpactsCalculation = 0.0;
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49 | return qualityForImpactsCalculation;
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50 | }
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51 | }
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52 | }
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