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source: branches/2994-AutoDiffForIntervals/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisSolution.cs

Last change on this file was 17209, checked in by gkronber, 5 years ago

#2994: merged r17132:17198 from trunk to branch

File size: 1.7 KB
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[6802]1#region License Information
2/* HeuristicLab
[17209]3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[6802]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;
[16565]23using HEAL.Attic;
24
[6802]25namespace HeuristicLab.Problems.DataAnalysis {
[16565]26  [StorableType("2793d8c7-6f34-4d9d-970c-a705f6c47b5c")]
[8458]27  public interface ITimeSeriesPrognosisSolution : IRegressionSolution {
[6802]28    new ITimeSeriesPrognosisModel Model { get; }
29    new ITimeSeriesPrognosisProblemData ProblemData { get; set; }
30
[8010]31    IEnumerable<IEnumerable<double>> GetPrognosedValues(IEnumerable<int> rows, IEnumerable<int> horizon);
[6802]32
[14422]33    IEnumerable<double> PrognosedTestValues { get; }
34
[8468]35    double TrainingTheilsUStatisticAR1 { get; }
36    double TestTheilsUStatisticAR1 { get; }
[7989]37    double TrainingTheilsUStatisticMean { get; }
38    double TestTheilsUStatisticMean { get; }
39    double TrainingDirectionalSymmetry { get; }
40    double TestDirectionalSymmetry { get; }
41    double TrainingWeightedDirectionalSymmetry { get; }
42    double TestWeightedDirectionalSymmetry { get; }
[7100]43  }
[6802]44}
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