Changeset 4928 for branches/DataAnalysis.PopulationDiversityAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic
- Timestamp:
- 11/25/10 00:22:15 (14 years ago)
- Location:
- branches/DataAnalysis.PopulationDiversityAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic
- Files:
-
- 2 edited
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- Added
- Removed
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branches/DataAnalysis.PopulationDiversityAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Analyzers/FineGrainedStructuralPopulationDiversityAnalyzer.cs
r4917 r4928 55 55 protected override double[,] CalculateSimilarities(SymbolicExpressionTree[] solutions) { 56 56 int n = solutions.Length; 57 List<string> variableNames = new List<string>(); 58 foreach (StringValue variableName in ProblemData.InputVariables) { 59 variableNames.Add(variableName.Value); 60 } 61 variableNames.Add(ProblemData.TargetVariable.Value); 62 IList<GeneticInformationItem>[] geneticInformationItemsList = new List<GeneticInformationItem>[n]; 63 for (int i = 0; i < n; i++) { 64 geneticInformationItemsList[i] = GeneticInformationItem.getGeneticInformationItems(solutions[i].Root, variableNames); 65 } 57 66 double[,] result = new double[n, n]; 58 67 for (int i = 0; i < n; i++) { … … 66 75 return result; 67 76 } 68 /* 69 #region private class GeneticInformationItem, ported from HL 2 77 78 79 #region private class GeneticInformationItem 70 80 71 81 private class GeneticInformationItem { … … 91 101 } 92 102 93 private double myAncestorCoefficient; 94 public double AncestorCoefficient { 95 get { return myAncestorCoefficient; } 96 } 97 98 private double myAncestorVariableIndex; 99 public double AncestorVariableIndex { 100 get { return myAncestorVariableIndex; } 101 } 102 103 private int myAncestorTimeOffset; 104 public int AncestorTimeOffset { 105 get { return myAncestorTimeOffset; } 106 } 103 // not used in HL 3.3 104 // private double myAncestorCoefficient; 105 // public double AncestorCoefficient { 106 // get { return myAncestorCoefficient; } 107 // } 108 109 // not used in HL 3.3 110 // private double myAncestorVariableIndex; 111 // public double AncestorVariableIndex { 112 // get { return myAncestorVariableIndex; } 113 // } 114 115 // not used in HL 3.3 116 // private int myAncestorTimeOffset; 117 // public int AncestorTimeOffset { 118 // get { return myAncestorTimeOffset; } 119 // } 107 120 108 121 // not used in HL 3.3 … … 127 140 } 128 141 129 private int myDescendantVariant; 130 public int DescendantVariant { 131 get { return myDescendantVariant; } 132 } 133 134 public GeneticInformationItem(SymbolicExpressionTreeNode Ancestor, SymbolicExpressionTreeNode Descendant) { 135 136 myAncestorDefinition = Ancestor.Symbol.GetType(); 137 myAncestorCoefficient = Ancestor.Coefficient; 138 myAncestorTimeOffset = Ancestor.TimeOffset; 139 myAncestorVariableIndex = Ancestor.VariableIndex; 140 //myAncestorVariant = Ancestor.Variant; 141 142 myDescendantDefinition = Descendant.Symbol.GetType(); 143 myDescendantCoefficient = Descendant.Coefficient; 144 myDescendantTimeOffset = Descendant.TimeOffset; 145 myDescendantVariableIndex = Descendant.VariableIndex; 146 //myDescendantVariant = Descendant.Variant; 147 148 myLevelDelta = Descendant.Level - Ancestor.Level; 149 if (myLevelDelta < 0) 150 throw new InvalidOperationException("ERROR in GeneticInformationItem: The Given ancestor is not an ancestor of the given descendant node."); 151 myAncestorIndex = CalculateAncestorIndex(Ancestor, Descendant); 152 153 } 154 155 private GeneticInformationItem(GeneticInformationItem item) { 156 myAncestorDefinition = item.myAncestorDefinition; 157 myAncestorCoefficient = item.myAncestorCoefficient; 158 myAncestorTimeOffset = item.myAncestorTimeOffset; 159 myAncestorVariableIndex = item.myAncestorVariableIndex; 160 // myAncestorVariant = item.myAncestorVariant; 161 myDescendantDefinition = item.myDescendantDefinition; 162 myDescendantCoefficient = item.myDescendantCoefficient; 163 myDescendantTimeOffset = item.myDescendantTimeOffset; 164 myDescendantVariableIndex = item.myDescendantVariableIndex; 165 myDescendantVariant = item.myDescendantVariant; 166 myLevelDelta = item.myLevelDelta; 167 myAncestorIndex = item.myAncestorIndex; 168 } 169 170 public GeneticInformationItem Clone() { 171 return new GeneticInformationItem(this); 172 } 173 174 public static List<GeneticInformationItem> CopyList(List<GeneticInformationItem> list) { 175 List<GeneticInformationItem> result = new List<GeneticInformationItem>(); 176 for (int i = 0; i < list.Count; i++) 177 result.Add(list[i]); 178 return result; 179 } 180 181 private static int CalculateAncestorIndex(SymbolicExpressionTreeNode Ancestor, SymbolicExpressionTreeNode Descendant) { 182 if (Ancestor == Descendant) 183 return 0; 184 // Node lastParent = Descendant, parent = Descendant.Parent; 185 // while (parent != Ancestor) { 186 // lastParent = parent; 187 // parent = parent.Parent; 188 // if (parent == null) 189 // throw new InvalidOperationException("Error in GeneticInformationItem: The given ancestor node does not seem to be an ancestor of the given descendant."); 190 // } 191 // // parent == Ancestor, lastParent is child of Ancestor 192 // int childIndex = 0; 193 // while (Ancestor.GetChild(childIndex) != lastParent) 194 // childIndex++; 195 // return childIndex; 196 // 197 for (int i = 0; i < Ancestor.SubTrees.Count; i++) 198 if (treeContainsNode(Ancestor.SubTrees[i], Descendant)) 199 return i; 200 return -1; 201 } 202 203 private static bool treeContainsNode(SymbolicExpressionTreeNode root, SymbolicExpressionTreeNode node) { 204 if (node == root) 205 return true; 206 foreach (SymbolicExpressionTreeNode subTree in root.SubTrees) 207 if(treeContainsNode(subTree, node)) 208 return true; 209 return false; 210 } 211 142 // not used in HL 3.3 143 //private int myDescendantVariant; 144 //public int DescendantVariant { 145 // get { return myDescendantVariant; } 146 //} 147 148 /* 212 149 public static GeneticInformationItem FindBestPendant(GeneticInformationItem Item, List<GeneticInformationItem> ComparisonItems, 213 150 StructuralSimilarityAnalysisParameters Parameters, … … 228 165 else 229 166 return null; 230 } 231 167 }*/ 168 169 /* 232 170 public static double Similarity(GeneticInformationItem Item1, GeneticInformationItem Item2, 233 171 StructuralSimilarityAnalysisParameters Parameters, … … 395 333 return result; 396 334 397 } 398 335 }*/ 336 337 /* 399 338 public static List<GeneticInformationItem> GetGeneticInformationItems(SymbolicExpressionTreeNode Formula, int MinLevelDifference, int MaxLevelDifference) { 400 339 List<GeneticInformationItem> result = new List<GeneticInformationItem>(); … … 413 352 } 414 353 return result; 415 } 416 417 public static List<SymbolicExpressionTreeNode> getDescendants(SymbolicExpressionTreeNode node) { 354 }*/ 355 356 /* 357 public static List<SymbolicExpressionTreeNode> GetDescendants(SymbolicExpressionTreeNode node) { 418 358 List<SymbolicExpressionTreeNode> descendants = new List<SymbolicExpressionTreeNode>(); 419 359 foreach (SymbolicExpressionTreeNode subTreeNode in node.SubTrees) { 420 addDescendants(descendants, subTreeNode);360 AddDescendants(descendants, subTreeNode); 421 361 } 422 362 return descendants; 423 363 } 424 private static void addDescendants(List<SymbolicExpressionTreeNode> list, SymbolicExpressionTreeNode node) {364 private static void AddDescendants(List<SymbolicExpressionTreeNode> list, SymbolicExpressionTreeNode node) { 425 365 list.Add(node); 426 366 foreach (SymbolicExpressionTreeNode subTreeNode in node.SubTrees) { 427 addDescendants(list, subTreeNode);428 } 429 } 430 431 p rivate static IList<GeneticInformationItem> getGeneticInformationItems(SymbolicExpressionTreeNode node) {367 AddDescendants(list, subTreeNode); 368 } 369 }*/ 370 371 public static IList<GeneticInformationItem> getGeneticInformationItems(SymbolicExpressionTreeNode node, List<string> variableNames) { 432 372 // Idea: collect all descendants' lists and then add new items using the retrieved ones. 433 373 // This should save lots of time and reduce complexity of the items retrieval process. 374 if (node.Symbol is ProgramRootSymbol) 375 return getGeneticInformationItems(node.SubTrees[0], variableNames); 434 376 List<GeneticInformationItem> list = new List<GeneticInformationItem>(); 377 // add item for this node: 378 list.Add(new GeneticInformationItem(node, variableNames)); 379 // add items for the descendants: 435 380 for (int i = 0; i < node.SubTrees.Count; i++) { 436 IList<GeneticInformationItem> descendantItems = getGeneticInformationItems(node.SubTrees[i] );381 IList<GeneticInformationItem> descendantItems = getGeneticInformationItems(node.SubTrees[i], variableNames); 437 382 list.AddRange(descendantItems); 438 383 foreach (GeneticInformationItem item in descendantItems) { 439 GeneticInformationItem newItem = new GeneticInformationItem(); 440 newItem.AncestorIndex = i; 441 newItem.AncestorDefinition = node.Symbol.GetType(); 442 // ... TODO! 384 list.Add(new GeneticInformationItem(node, item, i)); 443 385 } 444 386 } … … 446 388 } 447 389 390 private GeneticInformationItem (SymbolicExpressionTreeNode node, List<string> variableNames) { 391 myAncestorIndex = -1; 392 VariableTreeNode variableTreeNode = node as VariableTreeNode; 393 LaggedVariableTreeNode laggedVariableTreeNode = node as LaggedVariableTreeNode; 394 ConstantTreeNode constantTreeNode = node as ConstantTreeNode; 395 myAncestorDefinition = node.Symbol.GetType(); 396 myDescendantDefinition = myAncestorDefinition; 397 if (variableTreeNode != null) 398 myDescendantCoefficient = variableTreeNode.Weight; 399 else if (constantTreeNode != null) 400 myDescendantCoefficient = constantTreeNode.Value; 401 else 402 myDescendantCoefficient = double.NaN; 403 if (laggedVariableTreeNode != null) 404 myDescendantTimeOffset = laggedVariableTreeNode.Lag; 405 else 406 myDescendantTimeOffset = 0; 407 if (variableTreeNode != null) 408 myDescendantVariableIndex = variableNames.IndexOf(variableTreeNode.VariableName); 409 else 410 myDescendantVariableIndex = -1; 411 myLevelDelta = 0; 412 } 413 414 private GeneticInformationItem(SymbolicExpressionTreeNode parentNode, GeneticInformationItem descendantGeneticInformationItem, int ancestorIndex) { 415 myAncestorIndex = ancestorIndex; 416 myLevelDelta = descendantGeneticInformationItem.LevelDelta + 1; 417 myAncestorDefinition = parentNode.Symbol.GetType(); 418 myDescendantCoefficient = descendantGeneticInformationItem.DescendantCoefficient; 419 myDescendantDefinition = descendantGeneticInformationItem.DescendantDefinition; 420 myDescendantTimeOffset = descendantGeneticInformationItem.DescendantTimeOffset; 421 myDescendantVariableIndex = descendantGeneticInformationItem.DescendantVariableIndex; 422 } 423 424 public override string ToString() { 425 return "ancestor: " + AncestorDefinition.Name.ToString() + ", [" + AncestorIndex + "], delta " + LevelDelta 426 + "; descendant: " + DescendantDefinition.Name.ToString() + " (varIndex " + DescendantVariableIndex + ", " 427 + DescendantCoefficient + ", t-" + DescendantTimeOffset + ")"; 428 } 429 448 430 } 449 431 450 432 #endregion 451 */ 433 452 434 } 453 435 } -
branches/DataAnalysis.PopulationDiversityAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblemBase.cs
r4885 r4928 299 299 operators.Add(new SymbolicRegressionModelQualityAnalyzer()); 300 300 operators.Add(new VariablesUsagePopulationDiversityAnalyzer()); 301 operators.Add(new FineGrainedStructuralPopulationDiversityAnalyzer()); 301 302 ParameterizeOperators(); 302 303 ParameterizeAnalyzers();
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