Changeset 13941 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NormalDistributedThresholdsModelCreator.cs
- Timestamp:
- 06/28/16 13:33:17 (8 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NormalDistributedThresholdsModelCreator.cs
r12012 r13941 46 46 47 47 48 public ISymbolicClassificationModel CreateSymbolicClassificationModel( ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {49 return CreateSymbolicDiscriminantFunctionClassificationModel(t ree, interpreter, lowerEstimationLimit, upperEstimationLimit);48 public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) { 49 return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit); 50 50 } 51 public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel( ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {52 return new SymbolicDiscriminantFunctionClassificationModel(t ree, interpreter, new NormalDistributionCutPointsThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);51 public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) { 52 return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new NormalDistributionCutPointsThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit); 53 53 } 54 54
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