source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisSolution.cs @ 14185

Last change on this file since 14185 was 14185, checked in by swagner, 3 years ago

#2526: Updated year of copyrights in license headers

File size: 2.0 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 HeuristicLab.Common;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  /// <summary>
28  /// Represents a time series prognosis data analysis solution
29  /// </summary>
30  [StorableClass]
31  public class TimeSeriesPrognosisSolution : TimeSeriesPrognosisSolutionBase {
32    [StorableConstructor]
33    protected TimeSeriesPrognosisSolution(bool deserializing) : base(deserializing) { }
34    protected TimeSeriesPrognosisSolution(TimeSeriesPrognosisSolution original, Cloner cloner) : base(original, cloner) { }
35    protected internal TimeSeriesPrognosisSolution(ITimeSeriesPrognosisModel model, ITimeSeriesPrognosisProblemData problemData)
36      : base(model, problemData) {
37      CalculateRegressionResults();
38      CalculateTimeSeriesResults();
39      CalculateTimeSeriesResults(ProblemData.TrainingHorizon, ProblemData.TestHorizon);
40    }
41
42    public override IEnumerable<IEnumerable<double>> GetPrognosedValues(IEnumerable<int> rows, IEnumerable<int> horizons) {
43      return Model.GetPrognosedValues(ProblemData.Dataset, rows, horizons);
44    }
45  }
46}
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