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source: branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisProblem.cs @ 7025

Last change on this file since 7025 was 7025, checked in by sforsten, 12 years ago

#1669: benchmark problems of Nguyen, Korns and Keijzer from http://groups.csail.mit.edu/EVO-DesignOpt/GPBenchmarks/ have been added. The benchmark problems from http://www.vanillamodeling.com/ have been adapted to the ones from Vladislavleva.

Not all benchmarks are working correctly so far, but they will be tested soon.

File size: 2.0 KB
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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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableClass]
28  [Item("Time-series Prognosis Problem", "A general time-series prognosis problem.")]
29  [Creatable("Problems")]
30  public class TimeSeriesPrognosisProblem : DataAnalysisProblem<ITimeSeriesPrognosisProblemData>, ITimeSeriesPrognosisProblem {
31    [StorableConstructor]
32    protected TimeSeriesPrognosisProblem(bool deserializing) : base(deserializing) { }
33    protected TimeSeriesPrognosisProblem(TimeSeriesPrognosisProblem original, Cloner cloner) : base(original, cloner) { }
34    public override IDeepCloneable Clone(Cloner cloner) { return new TimeSeriesPrognosisProblem(this, cloner); }
35
36    public TimeSeriesPrognosisProblem()
37      : base() {
38      ProblemData = new TimeSeriesPrognosisProblemData();
39    }
40
41    public override void ImportProblemDataFromFile(string fileName) {
42      TimeSeriesPrognosisProblemData problemData = TimeSeriesPrognosisProblemData.ImportFromFile(fileName);
43      ProblemData = problemData;
44    }
45  }
46}
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