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source: stable/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/ConstantTimeSeriesPrognosisModel.cs @ 12702

Last change on this file since 12702 was 12702, checked in by mkommend, 9 years ago

#2276: Merged changes to stable.

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Core;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.DataAnalysis {
29  [StorableClass]
30  [Item("Constant TimeSeries Model", "A time series model that returns for all prediciton the same constant value.")]
31  public class ConstantTimeSeriesPrognosisModel : ConstantRegressionModel, ITimeSeriesPrognosisModel {
32    [StorableConstructor]
33    protected ConstantTimeSeriesPrognosisModel(bool deserializing) : base(deserializing) { }
34    protected ConstantTimeSeriesPrognosisModel(ConstantTimeSeriesPrognosisModel original, Cloner cloner) : base(original, cloner) { }
35    public override IDeepCloneable Clone(Cloner cloner) {
36      return new ConstantTimeSeriesPrognosisModel(this, cloner);
37    }
38
39    public ConstantTimeSeriesPrognosisModel(double constant) : base(constant) { }
40
41    public IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
42      return horizons.Select(horizon => Enumerable.Repeat(Constant, horizon));
43    }
44
45    public ITimeSeriesPrognosisSolution CreateTimeSeriesPrognosisSolution(ITimeSeriesPrognosisProblemData problemData) {
46      return new TimeSeriesPrognosisSolution(this, new TimeSeriesPrognosisProblemData(problemData));
47    }
48  }
49}
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