LinearDiscriminantAnalysis.PredictProbabilitiesCore Method

Definition

Namespace: Extreme.Statistics.Multivariate
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23

Overload List

PredictProbabilitiesCore(Matrix<T>, Matrix<Double>, Boolean)	Predicts the probabilities of each class based on the specified values of the features.
PredictProbabilitiesCore(Vector<Double>, Vector<Double>, Boolean)	Predicts the probabilities of each class based on the specified values of the features.

PredictProbabilitiesCore(Vector<Double>, Vector<Double>, Boolean)

Predicts the probabilities of each class based on the specified values of the features.

protected override Vector<double> PredictProbabilitiesCore(
	Vector<double> features,
	Vector<double> probabilities,
	bool modelFeaturesOnly
)

Visual Basic

Protected Overrides Function PredictProbabilitiesCore ( 
	features As Vector(Of Double),
	probabilities As Vector(Of Double),
	modelFeaturesOnly As Boolean
) As Vector(Of Double)

C++/CLI

protected:
virtual Vector<double>^ PredictProbabilitiesCore(
	Vector<double>^ features, 
	Vector<double>^ probabilities, 
	bool modelFeaturesOnly
) override

abstract PredictProbabilitiesCore : 
        features : Vector<float> * 
        probabilities : Vector<float> * 
        modelFeaturesOnly : bool -> Vector<float> 
override PredictProbabilitiesCore : 
        features : Vector<float> * 
        probabilities : Vector<float> * 
        modelFeaturesOnly : bool -> Vector<float>

Parameters

features Vector<Double>: A vector containing the values for the independent variables.
probabilities Vector<Double>: The vector that is to hold the result. May be null.
modelFeaturesOnly Boolean: Specifies whether features includes only features that appear in the fitted model.

Return Value

Vector<Double>
The probabilities that the observation in features belongs to each class.

Exceptions

ArgumentNullException	features is null.
DimensionMismatchException	The length of features does not match the required number of values.