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source: trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/3.3/OffspringSelectionGPTimeSeriesPrognosis.cs @ 2710

Last change on this file since 2710 was 2577, checked in by gkronber, 15 years ago

Remove usage of UseEstimatedTargetValue parameter. #825 (UseEstimatedTargetValue parameter should be removed from evaluation operators.)

File size: 3.5 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 HeuristicLab.Core;
23using HeuristicLab.Modeling;
24using HeuristicLab.Operators;
25using System;
26using HeuristicLab.Data;
27using HeuristicLab.GP.Algorithms;
28
29namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
30  public class OffspringSelectionGPTimeSeriesPrognosis : HeuristicLab.GP.StructureIdentification.OffspringSelectionGPRegression, ITimeSeriesAlgorithm {
31    public override string Name {
32      get {
33        return base.Name + " - time series prognosis";
34      }
35    }
36
37    public int MinTimeOffset {
38      get { return GetVariableInjector().GetVariable("MinTimeOffset").GetValue<IntData>().Data; }
39      set { GetVariableInjector().GetVariable("MinTimeOffset").GetValue<IntData>().Data = value; }
40    }
41
42    public int MaxTimeOffset {
43      get { return GetVariableInjector().GetVariable("MaxTimeOffset").GetValue<IntData>().Data; }
44      set { GetVariableInjector().GetVariable("MaxTimeOffset").GetValue<IntData>().Data = value; }
45    }
46
47    protected override IOperator CreateProblemInjector() {
48      return DefaultTimeSeriesOperators.CreateProblemInjector();
49    }
50
51    protected override IOperator CreateFunctionLibraryInjector() {
52      CombinedOperator op = new CombinedOperator();
53      op.Name = "FunctionLibraryInjector";
54      SequentialProcessor seq = new SequentialProcessor();
55      DefaultFunctionLibraryInjector funLibInjector = new DefaultFunctionLibraryInjector();
56      funLibInjector.GetVariable("Differentials").Value = new BoolData(true);
57      seq.AddSubOperator(funLibInjector);
58      seq.AddSubOperator(new HL3TreeEvaluatorInjector());
59      op.OperatorGraph.AddOperator(seq);
60      op.OperatorGraph.InitialOperator = seq;
61      return op;
62    }
63
64    protected override VariableInjector CreateGlobalInjector() {
65      VariableInjector injector = base.CreateGlobalInjector();
66      injector.AddVariable(new HeuristicLab.Core.Variable("MinTimeOffset", new IntData()));
67      injector.AddVariable(new HeuristicLab.Core.Variable("MaxTimeOffset", new IntData()));
68      return injector;
69    }
70
71    protected override IOperator CreateModelAnalyzerOperator() {
72      return DefaultTimeSeriesOperators.CreatePostProcessingOperator();
73    }
74
75    protected override IAnalyzerModel CreateGPModel() {
76      var model = new AnalyzerModel();
77      var bestModelScope = Engine.GlobalScope.SubScopes[0];
78      model.SetMetaData("SelectionPressure", bestModelScope.GetVariableValue<DoubleData>("SelectionPressure", false).Data);
79      DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
80      DefaultTimeSeriesOperators.PopulateAnalyzerModel(bestModelScope, model);
81      return model;
82    }
83  }
84}
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