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source: branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisSolution.cs @ 7100

Last change on this file since 7100 was 7100, checked in by gkronber, 12 years ago

#1081 worked on multi-variate time series prognosis

File size: 2.7 KB
Line 
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.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  /// <summary>
29  /// Represents a time series prognosis data analysis solution
30  /// </summary>
31  [StorableClass]
32  public abstract class TimeSeriesPrognosisSolution : TimeSeriesPrognosisSolutionBase {
33
34    [StorableConstructor]
35    protected TimeSeriesPrognosisSolution(bool deserializing)
36      : base(deserializing) {
37    }
38    protected TimeSeriesPrognosisSolution(TimeSeriesPrognosisSolution original, Cloner cloner)
39      : base(original, cloner) {
40    }
41    protected TimeSeriesPrognosisSolution(ITimeSeriesPrognosisModel model, ITimeSeriesPrognosisProblemData problemData)
42      : base(model, problemData) {
43    }
44
45    protected override void RecalculateResults() {
46      CalculateResults();
47    }
48
49    public override IEnumerable<IEnumerable<double>> PrognosedTrainingValues {
50      get {
51        return GetPrognosedValues(Enumerable.Range(ProblemData.TrainingPartition.Start, 1),
52          ProblemData.TrainingPartition.End - ProblemData.TrainingPartition.Start)
53          .First();
54      }
55    }
56    public override IEnumerable<IEnumerable<double>> PrognosedTestValues {
57      get {
58        return GetPrognosedValues(Enumerable.Range(ProblemData.TestPartition.Start, 1),
59          ProblemData.TestPartition.End - ProblemData.TestPartition.Start)
60          .First();
61      }
62    }
63    public override IEnumerable<IEnumerable<IEnumerable<double>>> GetPrognosedValues(IEnumerable<int> rows, int horizon) {
64      return Model.GetPrognosedValues(ProblemData.Dataset, rows, horizon);
65    }
66
67    protected override void OnProblemDataChanged() {
68      base.OnProblemDataChanged();
69    }
70
71    protected override void OnModelChanged() {
72      base.OnModelChanged();
73    }
74  }
75}
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