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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolution.cs @ 13152

Last change on this file since 13152 was 12012, checked in by ascheibe, 9 years ago

#2212 merged r12008, r12009, r12010 back into trunk

File size: 5.3 KB
RevLine 
[5649]1#region License Information
2/* HeuristicLab
[12012]3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[5649]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;
[6411]26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
[5649]27
28namespace HeuristicLab.Problems.DataAnalysis {
29  /// <summary>
30  /// Represents a classification solution that uses a discriminant function and classification thresholds.
31  /// </summary>
32  [StorableClass]
33  [Item("DiscriminantFunctionClassificationSolution", "Represents a classification solution that uses a discriminant function and classification thresholds.")]
[8679]34  public class DiscriminantFunctionClassificationSolution : DiscriminantFunctionClassificationSolutionBase {
[6606]35    protected readonly Dictionary<int, double> valueEvaluationCache;
36    protected readonly Dictionary<int, double> classValueEvaluationCache;
[5885]37
[5649]38    [StorableConstructor]
[6606]39    protected DiscriminantFunctionClassificationSolution(bool deserializing)
40      : base(deserializing) {
41      valueEvaluationCache = new Dictionary<int, double>();
42      classValueEvaluationCache = new Dictionary<int, double>();
43    }
[5649]44    protected DiscriminantFunctionClassificationSolution(DiscriminantFunctionClassificationSolution original, Cloner cloner)
45      : base(original, cloner) {
[6606]46      valueEvaluationCache = new Dictionary<int, double>(original.valueEvaluationCache);
47      classValueEvaluationCache = new Dictionary<int, double>(original.classValueEvaluationCache);
[5649]48    }
[8679]49    public DiscriminantFunctionClassificationSolution(IDiscriminantFunctionClassificationModel model, IClassificationProblemData problemData)
[5649]50      : base(model, problemData) {
[6606]51      valueEvaluationCache = new Dictionary<int, double>();
52      classValueEvaluationCache = new Dictionary<int, double>();
[8723]53      CalculateRegressionResults();
54      CalculateClassificationResults();
[5649]55    }
56
[8683]57    public override IDeepCloneable Clone(Cloner cloner) {
58      return new DiscriminantFunctionClassificationSolution(this, cloner);
59    }
60
[6589]61    public override IEnumerable<double> EstimatedClassValues {
62      get { return GetEstimatedClassValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
[5736]63    }
[6589]64    public override IEnumerable<double> EstimatedTrainingClassValues {
[8139]65      get { return GetEstimatedClassValues(ProblemData.TrainingIndices); }
[6411]66    }
[6589]67    public override IEnumerable<double> EstimatedTestClassValues {
[8139]68      get { return GetEstimatedClassValues(ProblemData.TestIndices); }
[6411]69    }
70
[6589]71    public override IEnumerable<double> GetEstimatedClassValues(IEnumerable<int> rows) {
[6606]72      var rowsToEvaluate = rows.Except(classValueEvaluationCache.Keys);
73      var rowsEnumerator = rowsToEvaluate.GetEnumerator();
74      var valuesEnumerator = Model.GetEstimatedClassValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
75
76      while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
77        classValueEvaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
78      }
79
80      return rows.Select(row => classValueEvaluationCache[row]);
[5885]81    }
82
[5736]83
[6589]84    public override IEnumerable<double> EstimatedValues {
[5649]85      get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
86    }
[6589]87    public override IEnumerable<double> EstimatedTrainingValues {
[8139]88      get { return GetEstimatedValues(ProblemData.TrainingIndices); }
[5649]89    }
[6589]90    public override IEnumerable<double> EstimatedTestValues {
[8139]91      get { return GetEstimatedValues(ProblemData.TestIndices); }
[5649]92    }
93
[6589]94    public override IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
[6606]95      var rowsToEvaluate = rows.Except(valueEvaluationCache.Keys);
96      var rowsEnumerator = rowsToEvaluate.GetEnumerator();
97      var valuesEnumerator = Model.GetEstimatedValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
98
99      while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
100        valueEvaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
101      }
102
103      return rows.Select(row => valueEvaluationCache[row]);
[5649]104    }
[6606]105
106    protected override void OnModelChanged() {
107      valueEvaluationCache.Clear();
108      classValueEvaluationCache.Clear();
109      base.OnModelChanged();
110    }
111    protected override void OnModelThresholdsChanged(System.EventArgs e) {
112      classValueEvaluationCache.Clear();
113      base.OnModelThresholdsChanged(e);
114    }
115    protected override void OnProblemDataChanged() {
116      valueEvaluationCache.Clear();
117      classValueEvaluationCache.Clear();
118      base.OnProblemDataChanged();
119    }
[5649]120  }
121}
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