source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs @ 7259

Last change on this file since 7259 was 7259, checked in by swagner, 10 years ago

Updated year of copyrights to 2012 (#1716)

File size: 3.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  /// <summary>
29  /// Represents a regression data analysis solution
30  /// </summary>
31  [StorableClass]
32  public abstract class RegressionSolution : RegressionSolutionBase {
33    protected readonly Dictionary<int, double> evaluationCache;
34
35    [StorableConstructor]
36    protected RegressionSolution(bool deserializing)
37      : base(deserializing) {
38      evaluationCache = new Dictionary<int, double>();
39    }
40    protected RegressionSolution(RegressionSolution original, Cloner cloner)
41      : base(original, cloner) {
42      evaluationCache = new Dictionary<int, double>(original.evaluationCache);
43    }
44    protected RegressionSolution(IRegressionModel model, IRegressionProblemData problemData)
45      : base(model, problemData) {
46      evaluationCache = new Dictionary<int, double>();
47    }
48
49    protected override void RecalculateResults() {
50      CalculateResults();
51    }
52
53    public override IEnumerable<double> EstimatedValues {
54      get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
55    }
56    public override IEnumerable<double> EstimatedTrainingValues {
57      get { return GetEstimatedValues(ProblemData.TrainingIndizes); }
58    }
59    public override IEnumerable<double> EstimatedTestValues {
60      get { return GetEstimatedValues(ProblemData.TestIndizes); }
61    }
62
63    public override IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
64      var rowsToEvaluate = rows.Except(evaluationCache.Keys);
65      var rowsEnumerator = rowsToEvaluate.GetEnumerator();
66      var valuesEnumerator = Model.GetEstimatedValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
67
68      while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
69        evaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
70      }
71
72      return rows.Select(row => evaluationCache[row]);
73    }
74
75    protected override void OnProblemDataChanged() {
76      evaluationCache.Clear();
77      base.OnProblemDataChanged();
78    }
79
80    protected override void OnModelChanged() {
81      evaluationCache.Clear();
82      base.OnModelChanged();
83    }
84  }
85}
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