source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs @ 14289

Last change on this file since 14289 was 14289, checked in by mkommend, 5 years ago

#2669: Removed the after deserialization method that resets the targetVariable. Instead the initialization code has been added to the storable ctor.

File size: 2.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  [StorableClass]
29  [Item("Classification Model", "Base class for all classification models.")]
30  public abstract class ClassificationModel : DataAnalysisModel, IClassificationModel {
31    [Storable]
32    private string targetVariable;
33    public string TargetVariable {
34      get { return targetVariable; }
35      protected set { targetVariable = value; }
36    }
37
38    protected ClassificationModel(bool deserializing)
39      : base(deserializing) {
40      targetVariable = string.Empty;
41    }
42    protected ClassificationModel(ClassificationModel original, Cloner cloner)
43      : base(original, cloner) {
44      this.targetVariable = original.targetVariable;
45    }
46
47    protected ClassificationModel(string targetVariable)
48      : base("Classification Model") {
49      this.targetVariable = targetVariable;
50    }
51    protected ClassificationModel(string targetVariable, string name)
52      : base(name) {
53      this.targetVariable = targetVariable;
54    }
55    protected ClassificationModel(string targetVariable, string name, string description)
56      : base(name, description) {
57      this.targetVariable = targetVariable;
58    }
59
60    public abstract IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows);
61    public abstract IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData);
62  }
63}
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