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

ClassificationModelTPredictProbabilitiesCore Method (VectorT, VectorDouble, 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#
Copy
protected abstract Vector<double> PredictProbabilitiesCore(
	Vector<T> features,
	Vector<double> probabilities,
	bool modelFeaturesOnly
)
Protected MustOverride Function PredictProbabilitiesCore ( 
	features As Vector(Of T),
	probabilities As Vector(Of Double),
	modelFeaturesOnly As Boolean
) As Vector(Of Double)
protected:
virtual Vector<double>^ PredictProbabilitiesCore(
	Vector<T>^ features, 
	Vector<double>^ probabilities, 
	bool modelFeaturesOnly
) abstract
abstract PredictProbabilitiesCore : 
        features : Vector<'T> * 
        probabilities : Vector<float> * 
        modelFeaturesOnly : bool -> Vector<float> 

Parameters

features
Type: Extreme.MathematicsVectorT
A vector containing the values for the independent variables.
probabilities
Type: Extreme.MathematicsVectorDouble
The vector that is to hold the result. May be .
modelFeaturesOnly
Type: SystemBoolean
Specifies whether features includes only features that appear in the fitted model.

Return Value

Type: VectorDouble
The probabilities that the observation in features belongs to each class.
Exceptions

ExceptionCondition
ArgumentNullExceptionfeatures is .
DimensionMismatchException

The length 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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