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source: trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/3.3/StandardGP.cs @ 1652

Last change on this file since 1652 was 1529, checked in by gkronber, 16 years ago

Moved source files of plugins AdvancedOptimizationFrontEnd ... Grid into version-specific sub-folders. #576
File size: 7.1 KB
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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.Linq;
25using System.Text;
26using HeuristicLab.Core;
27using System.Xml;
28using System.Diagnostics;
29using HeuristicLab.DataAnalysis;
30using HeuristicLab.Data;
31using HeuristicLab.Operators;
32using HeuristicLab.Logging;
33
34namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
35  public class StandardGP : HeuristicLab.GP.StructureIdentification.StandardGP {
36    public bool Autoregressive {
37      get { return ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data; }
38      set { ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data = value; }
39    }
40
41    protected override IOperator CreateFunctionLibraryInjector() {
42      return new FunctionLibraryInjector();
43    }
44
45    protected override IOperator CreateProblemInjector() {
46      return new ProblemInjector();
47    }
48
49    protected override IOperator CreateBestSolutionProcessor() {
50      IOperator seq = base.CreateBestSolutionProcessor();
51      seq.AddSubOperator(BestSolutionProcessor);
52      return seq;
53    }
54
55    public override IEditor CreateEditor() {
56      return new StandardGpEditor(this);
57    }
58
59    public override IView CreateView() {
60      return new StandardGpEditor(this);
61    }
62
63    internal static IOperator BestSolutionProcessor {
64      get {
65        SequentialProcessor seq = new SequentialProcessor();
66        TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator();
67        trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
68        trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
69        trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient";
70        trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias";
71        trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance";
72        trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance";
73
74        TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator();
75        validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
76        validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
77        validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient";
78        validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias";
79        validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance";
80        validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance";
81
82        TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator();
83        testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
84        testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
85        testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient";
86        testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias";
87        testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance";
88        testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance";
89
90        SimpleEvaluator trainingEvaluator = new SimpleEvaluator();
91        trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
92        trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
93        trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";
94
95        SimpleEvaluator validationEvaluator = new SimpleEvaluator();
96        validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
97        validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
98        validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
99
100        SimpleEvaluator testEvaluator = new SimpleEvaluator();
101        testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
102        testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
103        testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest";
104
105        LinechartInjector trainingChartInjector = new LinechartInjector();
106        trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
107        trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";
108        trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues";
109
110        LinechartInjector validationChartInjector = new LinechartInjector();
111        validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
112        validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
113        validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues";
114
115        LinechartInjector testChartInjector = new LinechartInjector();
116        testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
117        testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest";
118        testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues";
119
120        seq.AddSubOperator(trainingTheil);
121        seq.AddSubOperator(validationTheil);
122        seq.AddSubOperator(testTheil);
123        seq.AddSubOperator(trainingEvaluator);
124        seq.AddSubOperator(trainingChartInjector);
125        seq.AddSubOperator(validationEvaluator);
126        seq.AddSubOperator(validationChartInjector);
127        seq.AddSubOperator(testEvaluator);
128        seq.AddSubOperator(testChartInjector);
129
130        return seq;
131      }
132    }
133  }
134}
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