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source: branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisSolution.cs @ 7160

Last change on this file since 7160 was 7160, checked in by gkronber, 12 years ago

#1081 worked on multi-variate time series prognosis

File size: 2.2 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;
23namespace HeuristicLab.Problems.DataAnalysis {
24  public interface ITimeSeriesPrognosisSolution : IDataAnalysisSolution {
25    int Horizon { get; set; }
26    new ITimeSeriesPrognosisModel Model { get; }
27    new ITimeSeriesPrognosisProblemData ProblemData { get; set; }
28
29    IEnumerable<IEnumerable<double>> PrognosedTrainingValues { get; }
30    IEnumerable<IEnumerable<double>> PrognosedTestValues { get; }
31    IEnumerable<IEnumerable<IEnumerable<double>>> GetPrognosedValues(IEnumerable<int> rows, int horizon);
32
33    double[] TrainingMeanSquaredError { get; }
34    double[] TestMeanSquaredError { get; }
35    double[] TrainingMeanAbsoluteError { get; }
36    double[] TestMeanAbsoluteError { get; }
37    double[] TrainingRSquared { get; }
38    double[] TestRSquared { get; }
39    double[] TrainingRelativeError { get; }
40    double[] TestRelativeError { get; }
41    double[] TrainingNormalizedMeanSquaredError { get; }
42    double[] TestNormalizedMeanSquaredError { get; }
43    double[] TrainingTheilsUStatisticLast { get; }
44    double[] TestTheilsUStatisticLast { get; }
45    double[] TrainingTheilsUStatisticMean { get; }
46    double[] TestTheilsUStatisticMean { get; }
47    double[] TrainingDirectionalSymmetry { get; }
48    double[] TestDirectionalSymmetry { get; }
49    double[] TrainingWeightedDirectionalSymmetry { get; }
50    double[] TestWeightedDirectionalSymmetry { get; }
51  }
52}
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