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source: branches/2521_ProblemRefactoring/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestRegressionSolution.cs @ 16692

Last change on this file since 16692 was 16692, checked in by abeham, 5 years ago

#2521: merged trunk changes up to r15681 into branch (removal of trunk/sources)

File size: 2.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Problems.DataAnalysis;
27using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
28
29namespace HeuristicLab.Algorithms.DataAnalysis {
30  /// <summary>
31  /// Represents a random forest solution for a regression problem which can be visualized in the GUI.
32  /// </summary>
33  [Item("RandomForestRegressionSolution", "Represents a random forest solution for a regression problem which can be visualized in the GUI.")]
34  [StorableClass]
35  public sealed class RandomForestRegressionSolution : ConfidenceRegressionSolution, IRandomForestRegressionSolution {
36
37    public new IRandomForestModel Model {
38      get { return (IRandomForestModel)base.Model; }
39      set { base.Model = value; }
40    }
41
42    public int NumberOfTrees {
43      get { return Model.NumberOfTrees; }
44    }
45
46    [StorableConstructor]
47    private RandomForestRegressionSolution(bool deserializing) : base(deserializing) { }
48    private RandomForestRegressionSolution(RandomForestRegressionSolution original, Cloner cloner)
49      : base(original, cloner) {
50    }
51    public RandomForestRegressionSolution(IRandomForestModel randomForestModel, IRegressionProblemData problemData)
52      : base(randomForestModel, problemData) {
53    }
54
55    public override IDeepCloneable Clone(Cloner cloner) {
56      return new RandomForestRegressionSolution(this, cloner);
57    }
58  }
59}
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