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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleModel.cs @ 5777

Last change on this file since 5777 was 5777, checked in by mkommend, 13 years ago

#1418: Corrected plugin dependencies.

File size: 3.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.DataAnalysis {
29  /// <summary>
30  /// Represents regression solutions that contain an ensemble of multiple regression models
31  /// </summary>
32  [StorableClass]
33  [Item("RegressionEnsembleModel", "A regression model that contains an ensemble of multiple regression models")]
34  public class RegressionEnsembleModel : NamedItem, IRegressionEnsembleModel {
35
36    [Storable]
37    private List<IRegressionModel> models;
38    public IEnumerable<IRegressionModel> Models {
39      get { return new List<IRegressionModel>(models); }
40    }
41    [StorableConstructor]
42    protected RegressionEnsembleModel(bool deserializing) : base(deserializing) { }
43    protected RegressionEnsembleModel(RegressionEnsembleModel original, Cloner cloner)
44      : base(original, cloner) {
45      this.models = original.Models.Select(m => cloner.Clone(m)).ToList();
46    }
47    public RegressionEnsembleModel(IEnumerable<IRegressionModel> models)
48      : base() {
49      this.name = ItemName;
50      this.description = ItemDescription;
51      this.models = new List<IRegressionModel>(models);
52    }
53
54    public override IDeepCloneable Clone(Cloner cloner) {
55      return new RegressionEnsembleModel(this, cloner);
56    }
57
58    #region IRegressionEnsembleModel Members
59
60    public IEnumerable<IEnumerable<double>> GetEstimatedValueVectors(Dataset dataset, IEnumerable<int> rows) {
61      var estimatedValuesEnumerators = (from model in models
62                                        select model.GetEstimatedValues(dataset, rows).GetEnumerator())
63                                       .ToList();
64
65      while (estimatedValuesEnumerators.All(en => en.MoveNext())) {
66        yield return from enumerator in estimatedValuesEnumerators
67                     select enumerator.Current;
68      }
69    }
70
71    #endregion
72
73    #region IRegressionModel Members
74
75    public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {
76      foreach (var estimatedValuesVector in GetEstimatedValueVectors(dataset, rows)) {
77        yield return estimatedValuesVector.Average();
78      }
79    }
80
81    #endregion
82  }
83}
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