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source: trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/ProblemInjector.cs @ 1411

Last change on this file since 1411 was 1287, checked in by gkronber, 16 years ago

Merged change sets from CEDMA branch to trunk:

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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;
23using System.Collections.Generic;
24using System.Text;
25using System.Xml;
26using Core = HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Operators;
29using HeuristicLab.DataAnalysis;
30
31namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
32  public class ProblemInjector : HeuristicLab.GP.StructureIdentification.ProblemInjector {
33
34    public override string Description {
35      get {
36        return "Problem injector for time series structure identification.";
37      }
38    }
39
40    public ProblemInjector()
41      : base() {
42      AddVariableInfo(new Core.VariableInfo("Autoregressive", "Autoregressive modelling includes previous values of the target variable to predict future values.", typeof(BoolData), Core.VariableKind.New));
43      GetVariableInfo("Autoregressive").Local = true;
44      AddVariable(new Core.Variable("Autoregressive", new BoolData()));
45
46      AddVariableInfo(new Core.VariableInfo("MaxTimeOffset", "MaxTimeOffset", typeof(IntData), Core.VariableKind.New));
47      GetVariableInfo("MaxTimeOffset").Local = true;
48      AddVariable(new Core.Variable("MaxTimeOffset", new IntData(0)));
49
50      AddVariableInfo(new Core.VariableInfo("MinTimeOffset", "MinTimeOffset", typeof(IntData), Core.VariableKind.New));
51      GetVariableInfo("MinTimeOffset").Local = true;
52      AddVariable(new Core.Variable("MinTimeOffset", new IntData(-1)));
53    }
54  }
55}
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