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source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestClassificationSolution.cs @ 16662

Last change on this file since 16662 was 16662, checked in by gkronber, 5 years ago

#2925: merged all changes from trunk to branch (up to r16659)

File size: 2.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HEAL.Attic;
25using HeuristicLab.Problems.DataAnalysis;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  /// <summary>
29  /// Represents a random forest solution for a classification problem which can be visualized in the GUI.
30  /// </summary>
31  [Item("RandomForestClassificationSolution", "Represents a random forest solution for a classification problem which can be visualized in the GUI.")]
32  [StorableType("11D108AD-931C-4504-BA87-0D5CEB2C95A9")]
33  public sealed class RandomForestClassificationSolution : ClassificationSolution, IRandomForestClassificationSolution {
34
35    public new IRandomForestModel Model {
36      get { return (IRandomForestModel)base.Model; }
37      set { base.Model = value; }
38    }
39
40    public int NumberOfTrees {
41      get { return Model.NumberOfTrees; }
42    }
43
44    [StorableConstructor]
45    private RandomForestClassificationSolution(StorableConstructorFlag _) : base(_) { }
46    private RandomForestClassificationSolution(RandomForestClassificationSolution original, Cloner cloner)
47      : base(original, cloner) {
48    }
49    public RandomForestClassificationSolution(IRandomForestModel randomForestModel, IClassificationProblemData problemData)
50      : base(randomForestModel, problemData) {
51    }
52
53    public override IDeepCloneable Clone(Cloner cloner) {
54      return new RandomForestClassificationSolution(this, cloner);
55    }
56  }
57}
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