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source: branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.TimeSeries/StandardGP.cs @ 1254

Last change on this file since 1254 was 1254, checked in by gkronber, 15 years ago

Fixed a few minor issues in hard-coded StandardGP and OffspringSelectionGP variants. #224 (Simple frontend for GP for non-expert users (similar to HeurisicLab.SGA))
File size: 7.4 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    private BoolData autoregressive = new BoolData();
37    public bool Autoregressive {
38      get { return autoregressive.Data; }
39      set { autoregressive.Data = value; }
40    }
41
42    protected override IOperator CreateFunctionLibraryInjector() {
43      return new FunctionLibraryInjector();
44    }
45
46    protected override IOperator CreateProblemInjector() {
47      return new ProblemInjector();
48    }
49
50    protected override IOperator CreateGlobalInjector() {
51      VariableInjector injector = (VariableInjector)base.CreateGlobalInjector();
52      injector.AddVariable(new HeuristicLab.Core.Variable("Autoregressive", autoregressive));
53      return injector;
54    }
55
56    protected override IOperator CreateBestSolutionProcessor() {
57      IOperator seq = base.CreateBestSolutionProcessor();
58      seq.AddSubOperator(BestSolutionProcessor);
59      return seq;
60    }
61
62    public override IEditor CreateEditor() {
63      return new StandardGpEditor(this);
64    }
65
66    public override IView CreateView() {
67      return new StandardGpEditor(this);
68    }
69
70    internal static IOperator BestSolutionProcessor {
71      get {
72        SequentialProcessor seq = new SequentialProcessor();
73        TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator();
74        trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
75        trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
76        trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient";
77        trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias";
78        trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance";
79        trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance";
80
81        TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator();
82        validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
83        validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
84        validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient";
85        validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias";
86        validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance";
87        validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance";
88
89        TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator();
90        testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
91        testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
92        testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient";
93        testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias";
94        testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance";
95        testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance";
96
97        SimpleEvaluator trainingEvaluator = new SimpleEvaluator();
98        trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
99        trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
100        trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";
101
102        SimpleEvaluator validationEvaluator = new SimpleEvaluator();
103        validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
104        validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
105        validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
106
107        SimpleEvaluator testEvaluator = new SimpleEvaluator();
108        testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
109        testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
110        testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest";
111
112        LinechartInjector trainingChartInjector = new LinechartInjector();
113        trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
114        trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";
115        trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues";
116
117        LinechartInjector validationChartInjector = new LinechartInjector();
118        validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
119        validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
120        validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues";
121
122        LinechartInjector testChartInjector = new LinechartInjector();
123        testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
124        testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest";
125        testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues";
126
127        seq.AddSubOperator(trainingTheil);
128        seq.AddSubOperator(validationTheil);
129        seq.AddSubOperator(testTheil);
130        seq.AddSubOperator(trainingEvaluator);
131        seq.AddSubOperator(trainingChartInjector);
132        seq.AddSubOperator(validationEvaluator);
133        seq.AddSubOperator(validationChartInjector);
134        seq.AddSubOperator(testEvaluator);
135        seq.AddSubOperator(testChartInjector);
136
137        return seq;
138      }
139    }
140  }
141}
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