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  • PredictProbabilitiesCore Method Overloads
    • PredictProbabilitiesCore Method (Matrix(T), Matrix(Double), Boolean)
    • PredictProbabilitiesCore Method (Vector(T), Vector(Double), Boolean)
  • PredictProbabilitiesCore Method (Matrix(T), Matrix(Double), Boolean)

ClassificationModelTPredictProbabilitiesCore Method (MatrixT, MatrixDouble, Boolean)

Extreme Optimization Numerical Libraries for .NET Professional
Predicts the probabilities of each class based on the specified values of the features.

Namespace:  Extreme.DataAnalysis.Models
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
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protected virtual Matrix<double> PredictProbabilitiesCore(
	Matrix<T> features,
	Matrix<double> probabilities,
	bool modelFeaturesOnly
)
Protected Overridable Function PredictProbabilitiesCore ( 
	features As Matrix(Of T),
	probabilities As Matrix(Of Double),
	modelFeaturesOnly As Boolean
) As Matrix(Of Double)
protected:
virtual Matrix<double>^ PredictProbabilitiesCore(
	Matrix<T>^ features, 
	Matrix<double>^ probabilities, 
	bool modelFeaturesOnly
)
abstract PredictProbabilitiesCore : 
        features : Matrix<'T> * 
        probabilities : Matrix<float> * 
        modelFeaturesOnly : bool -> Matrix<float> 
override PredictProbabilitiesCore : 
        features : Matrix<'T> * 
        probabilities : Matrix<float> * 
        modelFeaturesOnly : bool -> Matrix<float> 

Parameters

features
Type: Extreme.MathematicsMatrixT
A matrix containing the values for the independent variables.
probabilities
Type: Extreme.MathematicsMatrixDouble
A matrix that is to hold the result.
modelFeaturesOnly
Type: SystemBoolean
Specifies whether features includes only features that appear in the fitted model.

Return Value

Type: MatrixDouble
A matrix whose rows contain the probabilities that the observation in the corresponding row of features belongs to each class.
Exceptions

ExceptionCondition
ArgumentNullExceptionfeatures is .
DimensionMismatchException

The number of columns of features does not match the required number of values.

See Also

Reference

ClassificationModelT Class
PredictProbabilitiesCore Overload
Extreme.DataAnalysis.Models Namespace

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