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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/DiscriminantFunctionClassificationSolution.cs @ 5649

Last change on this file since 5649 was 5649, checked in by gkronber, 12 years ago

#1418 Implemented classes for classification based on a discriminant function and thresholds and implemented interfaces and base classes for clustering.

File size: 3.6 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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 System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Operators;
28using HeuristicLab.Parameters;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30using HeuristicLab.Optimization;
31using System;
32
33namespace HeuristicLab.Problems.DataAnalysis {
34  /// <summary>
35  /// Represents a classification solution that uses a discriminant function and classification thresholds.
36  /// </summary>
37  [StorableClass]
38  [Item("DiscriminantFunctionClassificationSolution", "Represents a classification solution that uses a discriminant function and classification thresholds.")]
39  public class DiscriminantFunctionClassificationSolution : ClassificationSolution, IDiscriminantFunctionClassificationSolution {
40    [StorableConstructor]
41    protected DiscriminantFunctionClassificationSolution(bool deserializing) : base(deserializing) { }
42    protected DiscriminantFunctionClassificationSolution(DiscriminantFunctionClassificationSolution original, Cloner cloner)
43      : base(original, cloner) {
44    }
45    public DiscriminantFunctionClassificationSolution(IRegressionModel model, IClassificationProblemData problemData)
46      : this(new DiscriminantFunctionClassificationModel(model, problemData.ClassValues), problemData) {
47    }
48    public DiscriminantFunctionClassificationSolution(IDiscriminantFunctionClassificationModel model, IClassificationProblemData problemData)
49      : base(model, problemData) {
50      Model.ThresholdsChanged += new EventHandler(Model_ThresholdsChanged);
51    }
52
53    #region IDiscriminantFunctionClassificationSolution Members
54
55    public new IDiscriminantFunctionClassificationModel Model {
56      get { return (IDiscriminantFunctionClassificationModel)base.Model; }
57    }
58
59    public IEnumerable<double> EstimatedValues {
60      get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
61    }
62
63    public IEnumerable<double> EstimatedTrainingValues {
64      get { return GetEstimatedValues(ProblemData.TrainingIndizes); }
65    }
66
67    public IEnumerable<double> EstimatedTestValues {
68      get { return GetEstimatedValues(ProblemData.TestIndizes); }
69    }
70
71    public IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
72      return Model.GetEstimatedValues(ProblemData.Dataset, rows);
73    }
74
75    public IEnumerable<double> Thresholds {
76      get { return Model.Thresholds; }
77    }
78
79    public event EventHandler ThresholdsChanged;
80
81    private void Model_ThresholdsChanged(object sender, EventArgs e) {
82      OnThresholdsChanged(e);
83    }
84
85    protected virtual void OnThresholdsChanged(EventArgs e) {
86      var listener = ThresholdsChanged;
87      if (listener != null) listener(this, e);
88    }
89    #endregion
90  }
91}
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