source: branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneRClassificationSolution.cs @ 17209

Last change on this file since 17209 was 17209, checked in by gkronber, 6 weeks ago

#2994: merged r17132:17198 from trunk to branch

File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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  [StorableType("971CA431-D3BC-403C-A0FB-0E6F5BA426D7")]
29  [Item(Name = "OneR Classification Solution", Description = "Represents a OneR classification solution which uses only a single feature with potentially multiple thresholds for class prediction.")]
30  public sealed class OneRClassificationSolution : ClassificationSolution {
31    public new OneRClassificationModel Model {
32      get { return (OneRClassificationModel)base.Model; }
33      set { base.Model = value; }
34    }
35
36    [StorableConstructor]
37    private OneRClassificationSolution(StorableConstructorFlag _) : base(_) { }
38    private OneRClassificationSolution(OneRClassificationSolution original, Cloner cloner) : base(original, cloner) { }
39    public OneRClassificationSolution(OneRClassificationModel model, IClassificationProblemData problemData)
40      : base(model, problemData) {
41      RecalculateResults();
42    }
43
44    public override IDeepCloneable Clone(Cloner cloner) {
45      return new OneRClassificationSolution(this, cloner);
46    }
47  }
48}
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