Changeset 17877 for branches/3076_IA_evaluators_analyzers
- Timestamp:
- 03/11/21 15:48:39 (4 years ago)
- Location:
- branches/3076_IA_evaluators_analyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
- Files:
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- 3 edited
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branches/3076_IA_evaluators_analyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
- Property svn:mergeinfo changed
/trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression merged: 17817
- Property svn:mergeinfo changed
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branches/3076_IA_evaluators_analyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4
- Property svn:mergeinfo changed
/trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4 (added) merged: 17817
- Property svn:mergeinfo changed
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branches/3076_IA_evaluators_analyzers/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs
r17180 r17877 209 209 bool updateConstantsInTree = true, Action<double[], double, object> iterationCallback = null, EvaluationsCounter counter = null) { 210 210 211 // numeric constants in the tree become variables for constant opt212 // variables in the tree become parameters (fixed values) for constant opt213 // for each parameter (variable in the original tree) we store the211 // Numeric constants in the tree become variables for parameter optimization. 212 // Variables in the tree become parameters (fixed values) for parameter optimization. 213 // For each parameter (variable in the original tree) we store the 214 214 // variable name, variable value (for factor vars) and lag as a DataForVariable object. 215 215 // A dictionary is used to find parameters … … 221 221 if (!TreeToAutoDiffTermConverter.TryConvertToAutoDiff(tree, updateVariableWeights, applyLinearScaling, out parameters, out initialConstants, out func, out func_grad)) 222 222 throw new NotSupportedException("Could not optimize constants of symbolic expression tree due to not supported symbols used in the tree."); 223 if (parameters.Count == 0) return 0.0; // gkronber:constant expressions always have a R² of 0.0223 if (parameters.Count == 0) return 0.0; // constant expressions always have a R² of 0.0 224 224 var parameterEntries = parameters.ToArray(); // order of entries must be the same for x 225 225 226 // extract inital constants226 // extract inital constants 227 227 double[] c; 228 228 if (applyLinearScaling) { … … 309 309 VariableTreeNodeBase variableTreeNodeBase = node as VariableTreeNodeBase; 310 310 FactorVariableTreeNode factorVarTreeNode = node as FactorVariableTreeNode; 311 if (constantTreeNode != null) 311 if (constantTreeNode != null) { 312 if (constantTreeNode.Parent.Symbol is Power 313 && constantTreeNode.Parent.GetSubtree(1) == constantTreeNode) continue; // exponents in powers are not optimizated (see TreeToAutoDiffTermConverter) 312 314 constantTreeNode.Value = constants[i++]; 313 else if (updateVariableWeights && variableTreeNodeBase != null)315 } else if (updateVariableWeights && variableTreeNodeBase != null) 314 316 variableTreeNodeBase.Weight = constants[i++]; 315 317 else if (factorVarTreeNode != null) {
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