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source: branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationSolution.cs @ 15018

Last change on this file since 15018 was 15018, checked in by gkronber, 7 years ago

#2520 introduced StorableConstructorFlag type for StorableConstructors

File size: 3.3 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 System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Persistence;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  /// <summary>
29  /// Represents a classification data analysis solution
30  /// </summary>
31  [StorableType("cc22a9ee-8a52-4d23-8f53-5e531706324b")]
32  public class ClassificationSolution : ClassificationSolutionBase {
33    protected readonly Dictionary<int, double> evaluationCache;
34
35    [StorableConstructor]
36    protected ClassificationSolution(StorableConstructorFlag deserializing)
37      : base(deserializing) {
38      evaluationCache = new Dictionary<int, double>();
39    }
40    protected ClassificationSolution(ClassificationSolution original, Cloner cloner)
41      : base(original, cloner) {
42      evaluationCache = new Dictionary<int, double>(original.evaluationCache);
43    }
44    public ClassificationSolution(IClassificationModel model, IClassificationProblemData problemData)
45      : base(model, problemData) {
46      evaluationCache = new Dictionary<int, double>(problemData.Dataset.Rows);
47      CalculateClassificationResults();
48    }
49
50    public override IDeepCloneable Clone(Cloner cloner) {
51      return new ClassificationSolution(this, cloner);
52    }
53
54    public override IEnumerable<double> EstimatedClassValues {
55      get { return GetEstimatedClassValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
56    }
57    public override IEnumerable<double> EstimatedTrainingClassValues {
58      get { return GetEstimatedClassValues(ProblemData.TrainingIndices); }
59    }
60    public override IEnumerable<double> EstimatedTestClassValues {
61      get { return GetEstimatedClassValues(ProblemData.TestIndices); }
62    }
63
64    public override IEnumerable<double> GetEstimatedClassValues(IEnumerable<int> rows) {
65      var rowsToEvaluate = rows.Except(evaluationCache.Keys);
66      var rowsEnumerator = rowsToEvaluate.GetEnumerator();
67      var valuesEnumerator = Model.GetEstimatedClassValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
68
69      while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
70        evaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
71      }
72
73      return rows.Select(row => evaluationCache[row]);
74    }
75
76    protected override void OnProblemDataChanged() {
77      evaluationCache.Clear();
78      base.OnProblemDataChanged();
79    }
80
81    protected override void OnModelChanged() {
82      evaluationCache.Clear();
83      base.OnModelChanged();
84    }
85  }
86}
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