[5662] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5662] | 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 System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis {
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| 29 | /// <summary>
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| 30 | /// Represents classification solutions that contain an ensemble of multiple classification models
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| 31 | /// </summary>
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| 32 | [StorableClass]
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| 33 | [Item("ClassificationEnsembleModel", "A classification model that contains an ensemble of multiple classification models")]
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| 34 | public class ClassificationEnsembleModel : NamedItem, IClassificationEnsembleModel {
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| 35 |
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| 36 | [Storable]
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| 37 | private List<IClassificationModel> models;
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| 38 | public IEnumerable<IClassificationModel> Models {
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| 39 | get { return new List<IClassificationModel>(models); }
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| 40 | }
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[6239] | 41 |
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[5662] | 42 | [StorableConstructor]
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| 43 | protected ClassificationEnsembleModel(bool deserializing) : base(deserializing) { }
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| 44 | protected ClassificationEnsembleModel(ClassificationEnsembleModel original, Cloner cloner)
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| 45 | : base(original, cloner) {
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| 46 | this.models = original.Models.Select(m => cloner.Clone(m)).ToList();
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| 47 | }
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[6666] | 48 |
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| 49 | public ClassificationEnsembleModel() : this(Enumerable.Empty<IClassificationModel>()) { }
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[5662] | 50 | public ClassificationEnsembleModel(IEnumerable<IClassificationModel> models)
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| 51 | : base() {
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| 52 | this.name = ItemName;
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| 53 | this.description = ItemDescription;
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[5777] | 54 | this.models = new List<IClassificationModel>(models);
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[5662] | 55 | }
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| 56 |
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| 57 | public override IDeepCloneable Clone(Cloner cloner) {
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| 58 | return new ClassificationEnsembleModel(this, cloner);
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| 59 | }
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| 60 |
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| 61 | #region IClassificationEnsembleModel Members
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[6520] | 62 | public void Add(IClassificationModel model) {
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| 63 | models.Add(model);
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| 64 | }
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[6613] | 65 | public void Remove(IClassificationModel model) {
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| 66 | models.Remove(model);
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| 67 | }
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[5662] | 68 |
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| 69 | public IEnumerable<IEnumerable<double>> GetEstimatedClassValueVectors(Dataset dataset, IEnumerable<int> rows) {
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| 70 | var estimatedValuesEnumerators = (from model in models
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| 71 | select model.GetEstimatedClassValues(dataset, rows).GetEnumerator())
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| 72 | .ToList();
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| 73 |
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| 74 | while (estimatedValuesEnumerators.All(en => en.MoveNext())) {
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| 75 | yield return from enumerator in estimatedValuesEnumerators
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| 76 | select enumerator.Current;
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| 77 | }
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| 78 | }
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| 79 |
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| 80 | #endregion
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| 81 |
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| 82 | #region IClassificationModel Members
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| 83 |
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| 84 | public IEnumerable<double> GetEstimatedClassValues(Dataset dataset, IEnumerable<int> rows) {
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| 85 | foreach (var estimatedValuesVector in GetEstimatedClassValueVectors(dataset, rows)) {
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| 86 | // return the class which is most often occuring
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| 87 | yield return
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| 88 | estimatedValuesVector
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| 89 | .GroupBy(x => x)
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| 90 | .OrderBy(g => -g.Count())
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| 91 | .Select(g => g.Key)
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| 92 | .First();
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| 93 | }
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| 94 | }
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| 95 |
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[6604] | 96 | IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
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[8660] | 97 | return new ClassificationEnsembleSolution(models, new ClassificationEnsembleProblemData(problemData));
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[6604] | 98 | }
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[5662] | 99 | #endregion
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| 100 | }
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| 101 | }
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