source: branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesSolution.cs @ 16453

Last change on this file since 16453 was 16453, checked in by jkarder, 10 months ago

#2520: updated year of copyrights

File size: 1.8 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.Persistence.Default.CompositeSerializers.Storable;
24using HeuristicLab.Problems.DataAnalysis;
25
26namespace HeuristicLab.Algorithms.DataAnalysis {
27  [StorableClass]
28  public sealed class GradientBoostedTreesSolution : RegressionSolution {
29    public new IGradientBoostedTreesModel Model {
30      get { return (IGradientBoostedTreesModel)base.Model; }
31    }
32
33
34    [StorableConstructor]
35    private GradientBoostedTreesSolution(bool deserializing)
36      : base(deserializing) {
37    }
38    private GradientBoostedTreesSolution(GradientBoostedTreesSolution original, Cloner cloner)
39      : base(original, cloner) {
40    }
41    public GradientBoostedTreesSolution(IRegressionModel model, IRegressionProblemData problemData)
42      : base(model, problemData) {
43    }
44
45    public override IDeepCloneable Clone(Cloner cloner) {
46      return new GradientBoostedTreesSolution(this, cloner);
47    }
48  }
49}
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