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source: branches/DataAnalysis SolutionEnsembles/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisProblem.cs @ 6004

Last change on this file since 6004 was 5809, checked in by mkommend, 14 years ago

#1418: Reintegrated branch into trunk.
File size: 16.8 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Drawing;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Common.Resources;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
30using HeuristicLab.Optimization;
31using HeuristicLab.Parameters;
32using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
33using HeuristicLab.PluginInfrastructure;
34
35namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
36  [StorableClass]
37  public abstract class SymbolicDataAnalysisProblem<T, U, V> : HeuristicOptimizationProblem<U, V>, IDataAnalysisProblem, IStorableContent
38    where T : class,IDataAnalysisProblemData
39    where U : class, ISymbolicDataAnalysisEvaluator<T>
40    where V : class, ISymbolicDataAnalysisSolutionCreator {
41
42    #region parameter names & descriptions
43    private const string ProblemDataParameterName = "ProblemData";
44    private const string SymbolicExpressionTreeGrammarParameterName = "SymbolicExpressionTreeGrammar";
45    private const string SymbolicExpressionTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
46    private const string MaximumSymbolicExpressionTreeDepthParameterName = "MaximumSymbolicExpressionTreeDepth";
47    private const string MaximumSymbolicExpressionTreeLengthParameterName = "MaximumSymbolicExpressionTreeLength";
48    private const string MaximumFunctionDefinitionsParameterName = "MaximumFunctionDefinitions";
49    private const string MaximumFunctionArgumentsParameterName = "MaximumFunctionArguments";
50    private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
51    private const string FitnessCalculationPartitionParameterName = "FitnessCalculationPartition";
52    private const string ValidationPartitionParameterName = "ValidationPartition";
53
54    private const string ProblemDataParameterDescription = "";
55    private const string SymbolicExpressionTreeGrammarParameterDescription = "The grammar that should be used for symbolic expression tree.";
56    private const string SymoblicExpressionTreeInterpreterParameterDescription = "The interpreter that should be used to evaluate the symbolic expression tree.";
57    private const string MaximumSymbolicExpressionTreeDepthParameterDescription = "Maximal depth of the symbolic expression. The minimum depth needed for the algorithm is 3 because two levels are reserved for the ProgramRoot and the Start symbol.";
58    private const string MaximumSymbolicExpressionTreeLengthParameterDescription = "Maximal length of the symbolic expression.";
59    private const string MaximumFunctionDefinitionsParameterDescription = "Maximal number of automatically defined functions";
60    private const string MaximumFunctionArgumentsParameterDescription = "Maximal number of arguments of automatically defined functions.";
61    private const string RelativeNumberOfEvaluatedSamplesParameterDescription = "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation.";
62    private const string FitnessCalculationPartitionParameterDescription = "The partition of the problem data training partition, that should be used to calculate the fitness of an individual.";
63    private const string ValidationPartitionParameterDescription = "The partition of the problem data training partition, that should be used the select the best model from (optional).";
64    #endregion
65
66    #region parameter properties
67    IParameter IDataAnalysisProblem.ProblemDataParameter {
68      get { return ProblemDataParameter; }
69    }
70    public IValueParameter<T> ProblemDataParameter {
71      get { return (IValueParameter<T>)Parameters[ProblemDataParameterName]; }
72    }
73    public IValueParameter<ISymbolicDataAnalysisGrammar> SymbolicExpressionTreeGrammarParameter {
74      get { return (IValueParameter<ISymbolicDataAnalysisGrammar>)Parameters[SymbolicExpressionTreeGrammarParameterName]; }
75    }
76    public IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
77      get { return (IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
78    }
79    public IFixedValueParameter<IntValue> MaximumSymbolicExpressionTreeDepthParameter {
80      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeDepthParameterName]; }
81    }
82    public IFixedValueParameter<IntValue> MaximumSymbolicExpressionTreeLengthParameter {
83      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeLengthParameterName]; }
84    }
85    public IFixedValueParameter<IntValue> MaximumFunctionDefinitionsParameter {
86      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumFunctionDefinitionsParameterName]; }
87    }
88    public IFixedValueParameter<IntValue> MaximumFunctionArgumentsParameter {
89      get { return (IFixedValueParameter<IntValue>)Parameters[MaximumFunctionArgumentsParameterName]; }
90    }
91    public IFixedValueParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
92      get { return (IFixedValueParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
93    }
94    public IFixedValueParameter<IntRange> FitnessCalculationPartitionParameter {
95      get { return (IFixedValueParameter<IntRange>)Parameters[FitnessCalculationPartitionParameterName]; }
96    }
97    public IFixedValueParameter<IntRange> ValidationPartitionParamater {
98      get { return (IFixedValueParameter<IntRange>)Parameters[ValidationPartitionParameterName]; }
99    }
100    #endregion
101
102    #region properties
103    public string Filename { get; set; }
104    public override Image ItemImage { get { return VSImageLibrary.Type; } }
105
106    IDataAnalysisProblemData IDataAnalysisProblem.ProblemData {
107      get { return ProblemData; }
108    }
109    public T ProblemData {
110      get { return ProblemDataParameter.Value; }
111      set { ProblemDataParameter.Value = value; }
112    }
113
114    public ISymbolicDataAnalysisGrammar SymbolicExpressionTreeGrammar {
115      get { return SymbolicExpressionTreeGrammarParameter.Value; }
116      set { SymbolicExpressionTreeGrammarParameter.Value = value; }
117    }
118    public ISymbolicDataAnalysisExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
119      get { return SymbolicExpressionTreeInterpreterParameter.Value; }
120      set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
121    }
122
123    public IntValue MaximumSymbolicExpressionTreeDepth {
124      get { return MaximumSymbolicExpressionTreeDepthParameter.Value; }
125    }
126    public IntValue MaximumSymbolicExpressionTreeLength {
127      get { return MaximumSymbolicExpressionTreeLengthParameter.Value; }
128    }
129    public IntValue MaximumFunctionDefinitions {
130      get { return MaximumFunctionDefinitionsParameter.Value; }
131    }
132    public IntValue MaximumFunctionArguments {
133      get { return MaximumFunctionArgumentsParameter.Value; }
134    }
135    public PercentValue RelativeNumberOfEvaluatedSamples {
136      get { return RelativeNumberOfEvaluatedSamplesParameter.Value; }
137    }
138
139    public IntRange FitnessCalculationPartition {
140      get { return FitnessCalculationPartitionParameter.Value; }
141    }
142    public IntRange ValidationPartition {
143      get { return ValidationPartitionParamater.Value; }
144    }
145    #endregion
146
147    [StorableConstructor]
148    protected SymbolicDataAnalysisProblem(bool deserializing) : base(deserializing) { }
149    [StorableHook(HookType.AfterDeserialization)]
150    private void AfterDeserialization() {
151      RegisterEventHandlers();
152    }
153    protected SymbolicDataAnalysisProblem(SymbolicDataAnalysisProblem<T, U, V> original, Cloner cloner)
154      : base(original, cloner) {
155      RegisterEventHandlers();
156    }
157
158    protected SymbolicDataAnalysisProblem(T problemData, U evaluator, V solutionCreator)
159      : base(evaluator, solutionCreator) {
160      Parameters.Add(new ValueParameter<T>(ProblemDataParameterName, ProblemDataParameterDescription, problemData));
161      Parameters.Add(new ValueParameter<ISymbolicDataAnalysisGrammar>(SymbolicExpressionTreeGrammarParameterName, SymbolicExpressionTreeGrammarParameterDescription));
162      Parameters.Add(new ValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, SymoblicExpressionTreeInterpreterParameterDescription));
163      Parameters.Add(new FixedValueParameter<IntValue>(MaximumSymbolicExpressionTreeDepthParameterName, MaximumSymbolicExpressionTreeDepthParameterDescription, new IntValue()));
164      Parameters.Add(new FixedValueParameter<IntValue>(MaximumSymbolicExpressionTreeLengthParameterName, MaximumSymbolicExpressionTreeLengthParameterDescription, new IntValue()));
165      Parameters.Add(new FixedValueParameter<IntValue>(MaximumFunctionDefinitionsParameterName, MaximumFunctionDefinitionsParameterDescription, new IntValue()));
166      Parameters.Add(new FixedValueParameter<IntValue>(MaximumFunctionArgumentsParameterName, MaximumFunctionArgumentsParameterDescription, new IntValue()));
167      Parameters.Add(new FixedValueParameter<IntRange>(FitnessCalculationPartitionParameterName, FitnessCalculationPartitionParameterDescription, new IntRange()));
168      Parameters.Add(new FixedValueParameter<IntRange>(ValidationPartitionParameterName, ValidationPartitionParameterDescription, new IntRange()));
169      Parameters.Add(new FixedValueParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, RelativeNumberOfEvaluatedSamplesParameterDescription, new PercentValue(1)));
170
171      SymbolicExpressionTreeGrammar = new TypeCoherentExpressionGrammar();
172      SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeInterpreter();
173
174      FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
175      FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
176
177      InitializeOperators();
178
179      UpdateGrammar();
180      RegisterEventHandlers();
181    }
182
183    protected virtual void UpdateGrammar() {
184      SymbolicExpressionTreeGrammar.MaximumFunctionArguments = MaximumFunctionArguments.Value;
185      SymbolicExpressionTreeGrammar.MaximumFunctionDefinitions = MaximumFunctionDefinitions.Value;
186      foreach (var varSymbol in SymbolicExpressionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Variable>()) {
187        varSymbol.VariableNames = ProblemData.AllowedInputVariables;
188      }
189      foreach (var varSymbol in SymbolicExpressionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.VariableCondition>()) {
190        varSymbol.VariableNames = ProblemData.AllowedInputVariables;
191      }
192    }
193
194    private void InitializeOperators() {
195      Operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>());
196      Operators.Add(new SymbolicExpressionSymbolFrequencyAnalyzer());
197      Operators.Add(new SymbolicDataAnalysisVariableFrequencyAnalyzer());
198      Operators.Add(new MinAverageMaxSymbolicExpressionTreeLengthAnalyzer());
199      ParameterizeOperators();
200    }
201
202    #region events
203    private void RegisterEventHandlers() {
204      ProblemDataParameter.ValueChanged += new EventHandler(ProblemDataParameter_ValueChanged);
205      ProblemDataParameter.Value.Changed += (object sender, EventArgs e) => OnProblemDataChanged();
206
207      MaximumFunctionArguments.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
208      MaximumFunctionDefinitions.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
209      MaximumSymbolicExpressionTreeDepth.ValueChanged += new EventHandler(MaximumSymbolicExpressionTreeDepth_ValueChanged);
210    }
211
212    private void ProblemDataParameter_ValueChanged(object sender, EventArgs e) {
213      ProblemDataParameter.Value.Changed += (object s, EventArgs args) => OnProblemDataChanged();
214      OnProblemDataChanged();
215    }
216
217    private void ArchitectureParameterValue_ValueChanged(object sender, EventArgs e) {
218      UpdateGrammar();
219    }
220
221    private void MaximumSymbolicExpressionTreeDepth_ValueChanged(object sender, EventArgs e) {
222      if (MaximumSymbolicExpressionTreeDepth != null && MaximumSymbolicExpressionTreeDepth.Value < 3)
223        MaximumSymbolicExpressionTreeDepth.Value = 3;
224    }
225
226    protected override void OnSolutionCreatorChanged() {
227      base.OnSolutionCreatorChanged();
228      SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
229      ParameterizeOperators();
230    }
231
232    private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
233      ParameterizeOperators();
234    }
235
236    protected override void OnEvaluatorChanged() {
237      base.OnEvaluatorChanged();
238      ParameterizeOperators();
239    }
240
241    public event EventHandler ProblemDataChanged;
242    protected virtual void OnProblemDataChanged() {
243      FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
244      FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
245
246      UpdateGrammar();
247      ParameterizeOperators();
248
249      var handler = ProblemDataChanged;
250      if (handler != null) handler(this, EventArgs.Empty);
251
252      OnReset();
253    }
254    #endregion
255
256    protected virtual void ParameterizeOperators() {
257      var operators = Parameters.OfType<IValueParameter>().Select(p => p.Value).OfType<IOperator>().Union(Operators);
258
259      foreach (var op in operators.OfType<ISymbolicExpressionTreeGrammarBasedOperator>()) {
260        op.SymbolicExpressionTreeGrammarParameter.ActualName = SymbolicExpressionTreeGrammarParameterName;
261      }
262      foreach (var op in operators.OfType<ISymbolicExpressionTreeSizeConstraintOperator>()) {
263        op.MaximumSymbolicExpressionTreeDepthParameter.ActualName = MaximumSymbolicExpressionTreeDepthParameterName;
264        op.MaximumSymbolicExpressionTreeLengthParameter.ActualName = MaximumSymbolicExpressionTreeLengthParameterName;
265      }
266      foreach (var op in operators.OfType<ISymbolicExpressionTreeArchitectureAlteringOperator>()) {
267        op.MaximumFunctionArgumentsParameter.ActualName = MaximumFunctionArgumentsParameterName;
268        op.MaximumFunctionDefinitionsParameter.ActualName = MaximumFunctionDefinitionsParameterName;
269      }
270      foreach (var op in operators.OfType<ISymbolicDataAnalysisEvaluator<T>>()) {
271        op.ProblemDataParameter.ActualName = ProblemDataParameterName;
272        op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
273        op.EvaluationPartitionParameter.ActualName = FitnessCalculationPartitionParameter.Name;
274        op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
275      }
276      foreach (var op in operators.OfType<ISymbolicExpressionTreeCrossover>()) {
277        op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
278        op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
279      }
280      foreach (var op in operators.OfType<ISymbolicExpressionTreeManipulator>()) {
281        op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
282      }
283      foreach (var op in operators.OfType<ISymbolicExpressionTreeAnalyzer>()) {
284        op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
285      }
286      foreach (var op in operators.OfType<ISymbolicDataAnalysisValidationAnalyzer<U, T>>()) {
287        op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
288        op.ValidationPartitionParameter.ActualName = ValidationPartitionParamater.Name;
289      }
290      foreach (var op in operators.OfType<ISymbolicDataAnalysisInterpreterOperator>()) {
291        op.SymbolicDataAnalysisTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameterName;
292      }
293    }
294
295    public abstract void ImportProblemDataFromFile(string fileName);
296  }
297}
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