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  • Extreme.Mathematics Namespace
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  • Aggregator Class
  • AnovaModel Class
  • AnovaModelRow Class
  • AnovaRow Class
  • AnovaRowCollection Class
  • AnovaRowType Enumeration
  • AnovaTable Class
  • BoundaryIntervalBehavior Enumeration
  • CategoricalScale Class
  • CategoricalVariable Class
  • CategoricalVariable.CategoricalFilters Structure
  • Cell Class
  • CellArray Class
  • CollectionSortOrder Class
  • ContingencyTable Class
  • ContingencyTableCell Structure
  • DataArray(T) Class
  • DataArrayElement(T) Class
  • DateTimeInterval Structure
  • DateTimeScale Class
  • DateTimeUnit Enumeration
  • DateTimeVariable Class
  • DateTimeVariable.DateTimeFilters Structure
  • Filter Class
  • GeneralizedLinearModel Class
  • Histogram Class
  • HistogramBin Structure
  • HistogramBinCollection Class
  • InsufficientDataException Class
  • KeyVariable Class
  • KeyVariable(T) Class
  • LinearRegressionModel Class
  • LinkFunction Class
  • LogisticRegressionMethod Enumeration
  • LogisticRegressionModel Class
  • MissingValueAction Enumeration
  • MissingValueException Class
  • Model Class
  • ModelFamily Class
  • NonlinearRegressionModel Class
  • NumericalScale Class
  • NumericalVariable Class
  • NumericalVariable.NumericalFilters Structure
  • NumericalVariable.NumericalVariableTransforms Structure
  • Observation Structure
  • ObservationCollection Class
  • OneWayAnovaModel Class
  • OneWayRAnovaModel Class
  • Parameter Class
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  • PolynomialRegressionModel Class
  • RankTiebreaker Enumeration
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  • SimpleRegressionModel Class
  • SortOrder Enumeration
  • SpecialBins Enumeration
  • Stats Class
  • StepwiseCriterion Enumeration
  • StepwiseOptions Class
  • StepwiseRegressionMethod Enumeration
  • TestOfHomogeneityOfVariances Enumeration
  • TestOfNormality Enumeration
  • TransformedParameter Class
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  • Variable Class
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• LogisticRegressionModel Class
  • Members
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• Methods
  • Compute Method
  • ComputeModel Overloads
  • GetBaseLogLikelihood Method
  • GetBayesianInformationCriterion Method
  • GetCovarianceMatrix Method
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  • GetInformationMatrix Method
  • GetLikelihoodRatioTest Overloads
  • GetLogLikelihood Method
  • GetMcFaddenPseudoRSquared Method
  • GetNagelkerkePseudoRSquared Method
  • GetPearsonGoodnessOfFitTest Method
  • GetWaldTest Overloads
  • Predict Overloads
• GetBayesianInformationCriterion Method

Collapse AllExpand All        Code: All Code: Multiple Code: C# Code: Visual Basic Code: Visual C++ Code: F#

C#
Visual Basic
Visual C++
F#

LogisticRegressionModel..::..GetBayesianInformationCriterion Method

LogisticRegressionModel Class See Also

                      public override double GetBayesianInformationCriterion()

                      Public Overrides Function GetBayesianInformationCriterion As Double

                      public:
virtual double GetBayesianInformationCriterion() override

                      abstract GetBayesianInformationCriterion : unit -> float 
override GetBayesianInformationCriterion : unit -> float 

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