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source: branches/2906_Transformations/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationTransformationModel.cs @ 15885

Last change on this file since 15885 was 15885, checked in by pfleck, 6 years ago

#2906 Updated project references + small refactoring

File size: 2.9 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 System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis {
30  [Item("Classification Transformation Model", "A classification model that was transformed back to match the original variables after the training was performed on transformed variables.")]
31  [StorableClass]
32  public class ClassificationTransformationModel : DataAnalysisTransformationModel, IClassificationTransformationModel {
33    public new IClassificationModel OriginalModel {
34      get { return (IClassificationModel)base.OriginalModel; }
35    }
36
37    #region Constructor, Cloning & Persistence
38    public ClassificationTransformationModel(IClassificationModel originalModel, IEnumerable<IDataAnalysisTransformation> transformations)
39      : base(originalModel, transformations) {
40      if (transformations.Any(t => t.TransformedVariable == originalModel.TargetVariable))
41        throw new NotSupportedException("Classification with a transformed target variable is not allowed");
42    }
43
44    protected ClassificationTransformationModel(ClassificationTransformationModel original, Cloner cloner)
45      : base(original, cloner) {
46    }
47
48    public override IDeepCloneable Clone(Cloner cloner) {
49      return new ClassificationTransformationModel(this, cloner);
50    }
51
52    [StorableConstructor]
53    protected ClassificationTransformationModel(bool deserializing)
54      : base(deserializing) { }
55    #endregion
56
57    public virtual IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
58      var transformedInput = DataAnalysisTransformation.Transform(dataset, InputTransformations);
59      return OriginalModel.GetEstimatedClassValues(transformedInput, rows);
60    }
61
62    public virtual IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
63      return new ClassificationSolution(this, problemData);
64    }
65  }
66}
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