1 | using HEAL.Attic;
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2 | using HeuristicLab.Analysis;
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3 | using HeuristicLab.Common;
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4 | using HeuristicLab.Core;
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5 | using HeuristicLab.Data;
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6 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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7 | using HeuristicLab.Optimization;
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8 | using HeuristicLab.Parameters;
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9 | using System;
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10 | using System.Collections.Generic;
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11 | using System.Linq;
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12 | using System.Text;
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13 | using System.Threading.Tasks;
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14 |
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15 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
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16 | [StorableType("E5B7E058-E63F-4059-A87F-EA9247592254")]
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17 | public abstract class SymbolicRegressionMetaModelAnalyzer<T>
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18 | : SymbolicDataAnalysisAnalyzer, ISymbolicExpressionTreeAnalyzer where T: class, IRegressionProblem {
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19 |
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20 | #region constants
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21 | private const string ProblemsToAnalyzeParameterName = "Problems to Analyze";
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22 | private const string BaseProblemParameterName = "Base Problem";
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23 | private const string AnalyzeXIterationParameterName = "Analyze X Iteration";
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24 | #endregion
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25 |
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26 | #region parameter properties
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27 | //IRegressionProblem
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28 | public IFixedValueParameter<ItemList<T>> ProblemsToAnalyzeParameter =>
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29 | (IFixedValueParameter<ItemList<T>>)Parameters[ProblemsToAnalyzeParameterName];
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30 |
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31 | public IValueParameter<T> BaseProblemParameter =>
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32 | (IValueParameter<T>)Parameters[BaseProblemParameterName];
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33 |
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34 | public IFixedValueParameter<IntValue> AnalyzeXIterationParameter =>
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35 | (IFixedValueParameter<IntValue>)Parameters[AnalyzeXIterationParameterName];
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36 | #endregion
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37 |
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38 | public static int Iterations { get; set; } = 1;
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39 |
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40 | #region constructors and cloning
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41 | protected SymbolicRegressionMetaModelAnalyzer(SymbolicRegressionMetaModelAnalyzer<T> original, Cloner cloner) :
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42 | base(original, cloner) { }
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43 |
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44 | [StorableConstructor]
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45 | protected SymbolicRegressionMetaModelAnalyzer(StorableConstructorFlag _) : base(_) { }
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46 |
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47 | public SymbolicRegressionMetaModelAnalyzer() {
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48 | Parameters.Add(new FixedValueParameter<ItemList<T>>(ProblemsToAnalyzeParameterName,
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49 | "List of datasets, which are used to find a meta model.", new ItemList<T>()));
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50 | Parameters.Add(new ValueParameter<T>(BaseProblemParameterName,
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51 | "The problem which uses the algorithm (just drag&drop it)."));
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52 | Parameters.Add(new FixedValueParameter<IntValue>(AnalyzeXIterationParameterName,
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53 | "After every X iteration, the analyzer will perform its step.", new IntValue(1)));
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54 | }
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55 |
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56 | [StorableHook(HookType.AfterDeserialization)]
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57 | private void AfterDeserialization() {
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58 | if (!Parameters.ContainsKey(ProblemsToAnalyzeParameterName))
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59 | Parameters.Add(new FixedValueParameter<ItemList<T>>(ProblemsToAnalyzeParameterName,
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60 | "List of datasets, which are used to find a meta model.", new ItemList<T>()));
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61 |
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62 | if (!Parameters.ContainsKey(BaseProblemParameterName))
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63 | Parameters.Add(new ValueParameter<T>(BaseProblemParameterName,
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64 | "The problem which uses the algorithm (just drag&drop it)."));
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65 |
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66 | if (!Parameters.ContainsKey(AnalyzeXIterationParameterName))
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67 | Parameters.Add(new FixedValueParameter<IntValue>(AnalyzeXIterationParameterName,
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68 | "After every X iteration, the analyzer will perform its step.", new IntValue(1)));
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69 | }
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70 |
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71 | #endregion
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72 |
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73 | public override void InitializeState() {
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74 | Iterations = 1;
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75 | base.InitializeState();
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76 | }
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77 |
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78 | public override void ClearState() {
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79 | Iterations = 1;
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80 | base.ClearState();
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81 | }
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82 |
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83 | //protected abstract bool TryFittingSolution(ISymbolicExpressionTree tree, T problem, out SymbolicRegressionSolution solution);
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84 | protected abstract void PerformApply(T baseProblem, IEnumerable<T> problems, string targetVariable);
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85 |
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86 | public override IOperation Apply() {
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87 | if (BaseProblemParameter.Value == null)
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88 | throw new ArgumentNullException("BaseProblemParameter",
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89 | "Base Problem Parameter is null! Please drag&drop the used problem into the parameter slot.");
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90 |
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91 | if (Iterations >= AnalyzeXIterationParameter.Value.Value) {
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92 | Iterations = 1;
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93 | var baseProblem = BaseProblemParameter.Value;
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94 | var problems = ProblemsToAnalyzeParameter.Value;
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95 | var targetVariable = BaseProblemParameter.Value.ProblemData.TargetVariable;
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96 |
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97 | // error handling
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98 | var badProblems = problems.Where(x => x.ProblemData.TargetVariable != targetVariable);
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99 | IList<Exception> errors = new List<Exception>();
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100 | foreach (var problem in badProblems)
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101 | errors.Add(new ArgumentException($"The target variable of the problem '{problem.Name}' does not match with the base problem."));
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102 | if (badProblems.Any())
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103 | throw new AggregateException(errors);
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104 |
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105 | // apply
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106 | PerformApply(baseProblem, problems, targetVariable);
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107 | } else {
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108 | Iterations++;
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109 | }
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110 | return base.Apply();
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111 | }
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112 | }
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113 | }
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