Changeset 17149 for stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators
- Timestamp:
- 07/22/19 14:15:55 (5 years ago)
- Location:
- stable
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
stable
- Property svn:mergeinfo changed
/trunk merged: 16872-16873,16875,16890
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
- Property svn:mergeinfo changed
/trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression merged: 16875
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4
- Property svn:mergeinfo changed
/trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4 merged: 16875
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs
r17097 r17149 23 23 using System.Collections.Generic; 24 24 using System.Linq; 25 using HEAL.Attic; 25 26 using HeuristicLab.Common; 26 27 using HeuristicLab.Core; … … 29 30 using HeuristicLab.Optimization; 30 31 using HeuristicLab.Parameters; 31 using HEAL.Attic;32 32 33 33 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression { … … 114 114 public SymbolicRegressionConstantOptimizationEvaluator() 115 115 : base() { 116 Parameters.Add(new FixedValueParameter<IntValue>(ConstantOptimizationIterationsParameterName, "Determines how many iterations should be calculated while optimizing the constant of a symbolic expression tree (0 indicates other or default stopping criterion).", new IntValue(10) , true));117 Parameters.Add(new FixedValueParameter<DoubleValue>(ConstantOptimizationImprovementParameterName, "Determines the relative improvement which must be achieved in the constant optimization to continue with it (0 indicates other or default stopping criterion).", new DoubleValue(0) , true) { Hidden = true });118 Parameters.Add(new FixedValueParameter<PercentValue>(ConstantOptimizationProbabilityParameterName, "Determines the probability that the constants are optimized", new PercentValue(1) , true));119 Parameters.Add(new FixedValueParameter<PercentValue>(ConstantOptimizationRowsPercentageParameterName, "Determines the percentage of the rows which should be used for constant optimization", new PercentValue(1) , true));116 Parameters.Add(new FixedValueParameter<IntValue>(ConstantOptimizationIterationsParameterName, "Determines how many iterations should be calculated while optimizing the constant of a symbolic expression tree (0 indicates other or default stopping criterion).", new IntValue(10))); 117 Parameters.Add(new FixedValueParameter<DoubleValue>(ConstantOptimizationImprovementParameterName, "Determines the relative improvement which must be achieved in the constant optimization to continue with it (0 indicates other or default stopping criterion).", new DoubleValue(0)) { Hidden = true }); 118 Parameters.Add(new FixedValueParameter<PercentValue>(ConstantOptimizationProbabilityParameterName, "Determines the probability that the constants are optimized", new PercentValue(1))); 119 Parameters.Add(new FixedValueParameter<PercentValue>(ConstantOptimizationRowsPercentageParameterName, "Determines the percentage of the rows which should be used for constant optimization", new PercentValue(1))); 120 120 Parameters.Add(new FixedValueParameter<BoolValue>(UpdateConstantsInTreeParameterName, "Determines if the constants in the tree should be overwritten by the optimized constants.", new BoolValue(true)) { Hidden = true }); 121 121 Parameters.Add(new FixedValueParameter<BoolValue>(UpdateVariableWeightsParameterName, "Determines if the variable weights in the tree should be optimized.", new BoolValue(true)) { Hidden = true });
Note: See TracChangeset
for help on using the changeset viewer.