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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs @ 3253

Last change on this file since 3253 was 3253, checked in by gkronber, 14 years ago

Implemented basic framework for symbolic regression problems for HL 3.3. #938 (Data types and operators for regression problems)

File size: 13.7 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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.Drawing;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Optimization;
30using HeuristicLab.Parameters;
31using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
32using HeuristicLab.PluginInfrastructure;
33using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
34using HeuristicLab.Problems.DataAnalysis.Regression;
35using HeuristicLab.Problems.DataAnalysis.Symbolic;
36
37namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
38  [Item("SymbolicRegressionProblem", "Represents a symbolic regression problem.")]
39  [Creatable("Problems")]
40  [StorableClass]
41  public sealed class SymbolicRegressionProblem : RegressionProblem, ISingleObjectiveProblem {
42
43    #region Parameter Properties
44    public ValueParameter<BoolValue> MaximizationParameter {
45      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
46    }
47    IParameter ISingleObjectiveProblem.MaximizationParameter {
48      get { return MaximizationParameter; }
49    }
50    public ValueParameter<SymbolicExpressionTreeCreator> SolutionCreatorParameter {
51      get { return (ValueParameter<SymbolicExpressionTreeCreator>)Parameters["SolutionCreator"]; }
52    }
53    IParameter IProblem.SolutionCreatorParameter {
54      get { return SolutionCreatorParameter; }
55    }
56    public ValueParameter<ISymbolicRegressionEvaluator> EvaluatorParameter {
57      get { return (ValueParameter<ISymbolicRegressionEvaluator>)Parameters["Evaluator"]; }
58    }
59    IParameter IProblem.EvaluatorParameter {
60      get { return EvaluatorParameter; }
61    }
62    public ValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
63      get { return (ValueParameter<ISymbolicExpressionGrammar>)Parameters["FunctionTreeGrammar"]; }
64    }
65    public ValueParameter<IntValue> MaxExpressionLengthParameter {
66      get { return (ValueParameter<IntValue>)Parameters["MaxExpressionLength"]; }
67    }
68    public ValueParameter<IntValue> MaxExpressionDepthParameter {
69      get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
70    }
71    public ValueParameter<DoubleValue> NumberOfEvaluatedNodesParameter {
72      get { return (ValueParameter<DoubleValue>)Parameters["NumberOfEvaluatedNodes"]; }
73    }
74    public OptionalValueParameter<ISingleObjectiveSolutionsVisualizer> VisualizerParameter {
75      get { return (OptionalValueParameter<ISingleObjectiveSolutionsVisualizer>)Parameters["Visualizer"]; }
76    }
77    IParameter IProblem.VisualizerParameter {
78      get { return VisualizerParameter; }
79    }
80    public ValueParameter<DoubleValue> BestKnownQualityParameter {
81      get { return (ValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
82    }
83    IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
84      get { return BestKnownQualityParameter; }
85    }
86    #endregion
87
88    #region Properties
89    public IntValue MaxExpressionLength {
90      get { return MaxExpressionLengthParameter.Value; }
91      set { MaxExpressionLengthParameter.Value = value; }
92    }
93    public IntValue MaxExpressionDepth {
94      get { return MaxExpressionDepthParameter.Value; }
95      set { MaxExpressionDepthParameter.Value = value; }
96    }
97    public SymbolicExpressionTreeCreator SolutionCreator {
98      get { return SolutionCreatorParameter.Value; }
99      set { SolutionCreatorParameter.Value = value; }
100    }
101    ISolutionCreator IProblem.SolutionCreator {
102      get { return SolutionCreatorParameter.Value; }
103    }
104    public ISymbolicRegressionEvaluator Evaluator {
105      get { return EvaluatorParameter.Value; }
106      set { EvaluatorParameter.Value = value; }
107    }
108    ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
109      get { return EvaluatorParameter.Value; }
110    }
111    IEvaluator IProblem.Evaluator {
112      get { return EvaluatorParameter.Value; }
113    }
114    public ISymbolicExpressionGrammar FunctionTreeGrammar {
115      get { return FunctionTreeGrammarParameter.Value; }
116    }
117    public ISingleObjectiveSolutionsVisualizer Visualizer {
118      get { return VisualizerParameter.Value; }
119      set { VisualizerParameter.Value = value; }
120    }
121    ISolutionsVisualizer IProblem.Visualizer {
122      get { return VisualizerParameter.Value; }
123    }
124    public DoubleValue BestKnownQuality {
125      get { return BestKnownQualityParameter.Value; }
126    }
127    private List<ISymbolicExpressionTreeOperator> operators;
128    public IEnumerable<IOperator> Operators {
129      get { return operators.Cast<IOperator>(); }
130    }
131    #endregion
132
133    public SymbolicRegressionProblem()
134      : base() {
135      SymbolicExpressionTreeCreator creator = new ProbabilisticTreeCreator();
136      var evaluator = new SymbolicRegressionMeanSquaredErrorEvaluator();
137      var grammar = new ArithmeticExpressionGrammar();
138      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the error of the regression model should be minimized.", new BoolValue(false)));
139      Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic regression solutions.", creator));
140      Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
141      Parameters.Add(new ValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that can be reached by symbolic regression models.", new DoubleValue(0)));
142      Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>("FunctionTreeGrammar", "The grammar that should be used for symbolic regression models.", grammar));
143      Parameters.Add(new ValueParameter<IntValue>("MaxExpressionLength", "Maximal length of the symbolic expression.", new IntValue(100)));
144      Parameters.Add(new ValueParameter<IntValue>("MaxExpressionDepth", "Maximal depth of the symbolic expression.", new IntValue(10)));
145      Parameters.Add(new ValueParameter<DoubleValue>("NumberOfEvaluatedNodes", "The total number of evaluated function tree nodes (for performance measurements.)", new DoubleValue()));
146      Parameters.Add(new ValueParameter<ISingleObjectiveSolutionsVisualizer>("Visualizer", "The operator which should be used to visualize artificial ant solutions.", null));
147
148      creator.SymbolicExpressionTreeParameter.ActualName = "SymbolicRegressionModel";
149      evaluator.QualityParameter.ActualName = "TrainingMeanSquaredError";
150      ParameterizeSolutionCreator();
151      ParameterizeEvaluator();
152      ParameterizeVisualizer();
153
154      Initialize();
155    }
156
157    [StorableConstructor]
158    private SymbolicRegressionProblem(bool deserializing) : base() { }
159
160    public override IDeepCloneable Clone(Cloner cloner) {
161      SymbolicRegressionProblem clone = (SymbolicRegressionProblem)base.Clone(cloner);
162      clone.Initialize();
163      return clone;
164    }
165
166    #region Events
167    public event EventHandler SolutionCreatorChanged;
168    private void OnSolutionCreatorChanged() {
169      var changed = SolutionCreatorChanged;
170      if (changed != null)
171        changed(this, EventArgs.Empty);
172    }
173    public event EventHandler EvaluatorChanged;
174    private void OnEvaluatorChanged() {
175      var changed = EvaluatorChanged;
176      if (changed != null)
177        changed(this, EventArgs.Empty);
178    }
179    public event EventHandler VisualizerChanged;
180    private void OnVisualizerChanged() {
181      var changed = VisualizerChanged;
182      if (changed != null)
183        changed(this, EventArgs.Empty);
184    }
185
186    public event EventHandler OperatorsChanged;
187    private void OnOperatorsChanged() {
188      var changed = OperatorsChanged;
189      if (changed != null)
190        changed(this, EventArgs.Empty);
191    }
192
193    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
194      SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
195      ParameterizeSolutionCreator();
196      ParameterizeEvaluator();
197      ParameterizeVisualizer();
198      ParameterizeOperators();
199      OnSolutionCreatorChanged();
200    }
201    private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
202      ParameterizeEvaluator();
203      ParameterizeVisualizer();
204      ParameterizeOperators();
205    }
206    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
207      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
208      ParameterizeEvaluator();
209      ParameterizeVisualizer();
210      OnEvaluatorChanged();
211    }
212
213    private void VisualizerParameter_ValueChanged(object sender, EventArgs e) {
214      ParameterizeVisualizer();
215      OnVisualizerChanged();
216    }
217
218    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
219      ParameterizeVisualizer();
220    }
221
222    #endregion
223
224    #region Helpers
225    [StorableHook(HookType.AfterDeserialization)]
226    private void Initialize() {
227      InitializeOperators();
228      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
229      SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
230      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
231      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
232      VisualizerParameter.ValueChanged += new EventHandler(VisualizerParameter_ValueChanged);
233    }
234
235    private void InitializeOperators() {
236      operators = new List<ISymbolicExpressionTreeOperator>();
237      operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>());
238      ParameterizeOperators();
239    }
240
241    private void ParameterizeSolutionCreator() {
242      SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
243      SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
244      SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
245    }
246    private void ParameterizeEvaluator() {
247      Evaluator.FunctionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
248      Evaluator.SamplesStartParameter.ActualName = TrainingSamplesStartParameter.Name;
249      Evaluator.SamplesEndParameter.ActualName = TrainingSamplesEndParameter.Name;
250    }
251    private void ParameterizeVisualizer() {
252      if (Visualizer != null) {
253        //Visualizer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
254        //var antTrailVisualizer = Visualizer as IAntTrailVisualizer;
255        //if (antTrailVisualizer != null) {
256        //  antTrailVisualizer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
257        //  antTrailVisualizer.WorldParameter.ActualName = WorldParameter.Name;
258        //  antTrailVisualizer.MaxTimeStepsParameter.ActualName = MaxTimeStepsParameter.Name;
259        //}
260        //var bestSymExpressionVisualizer = Visualizer as BestSymbolicExpressionTreeVisualizer;
261        //if (bestSymExpressionVisualizer != null) {
262        //  bestSymExpressionVisualizer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
263        //}
264      }
265    }
266
267    private void ParameterizeOperators() {
268      foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
269        op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
270        op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
271        op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
272      }
273      foreach (ISymbolicRegressionEvaluator op in Operators.OfType<ISymbolicRegressionEvaluator>()) {
274        op.FunctionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
275        op.DatasetParameter.ActualName = DatasetParameter.Name;
276        op.NumberOfEvaluatedNodesParameter.ActualName = NumberOfEvaluatedNodesParameter.Name;
277        op.TargetVariableParameter.ActualName = TargetVariableParameter.Name;
278        op.SamplesStartParameter.ActualName = TrainingSamplesStartParameter.Name;
279        op.SamplesEndParameter.ActualName = TrainingSamplesEndParameter.Name;
280      }
281      foreach (SymbolicExpressionTreeCrossover op in Operators.OfType<SymbolicExpressionTreeCrossover>()) {
282        op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
283        op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
284      }
285    }
286    #endregion
287  }
288}
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