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source: stable/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesSolution.cs @ 17928

Last change on this file since 17928 was 17181, checked in by swagner, 5 years ago

#2875: Merged r17180 from trunk to stable

File size: 1.7 KB
RevLine 
[13157]1#region License Information
2/* HeuristicLab
[17181]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[13157]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;
[17097]23using HEAL.Attic;
[13157]24using HeuristicLab.Problems.DataAnalysis;
25
26namespace HeuristicLab.Algorithms.DataAnalysis {
[17097]27  [StorableType("B05C382A-A637-4CD6-8BCC-E1E92B60F330")]
[13158]28  public sealed class GradientBoostedTreesSolution : RegressionSolution {
[13157]29    public new IGradientBoostedTreesModel Model {
30      get { return (IGradientBoostedTreesModel)base.Model; }
31    }
32
33
34    [StorableConstructor]
[17097]35    private GradientBoostedTreesSolution(StorableConstructorFlag _) : base(_) {
[13157]36    }
[13158]37    private GradientBoostedTreesSolution(GradientBoostedTreesSolution original, Cloner cloner)
[13157]38      : base(original, cloner) {
39    }
40    public GradientBoostedTreesSolution(IRegressionModel model, IRegressionProblemData problemData)
41      : base(model, problemData) {
42    }
43
44    public override IDeepCloneable Clone(Cloner cloner) {
45      return new GradientBoostedTreesSolution(this, cloner);
46    }
47  }
48}
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