ClassificationModel<T>.PredictProbabilitiesCore Method

Definition

Namespace: Extreme.DataAnalysis.Models
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<T>, Vector<Double>, Boolean) Predicts the probabilities of each class based on the specified values of the features.

ClassificationModel<T>.PredictProbabilitiesCore(Matrix<T>, Matrix<Double>, Boolean)

Predicts the probabilities of each class based on the specified values of the features.
C# 
protected virtual Matrix<double> PredictProbabilitiesCore(
	Matrix<T> features,
	Matrix<double> probabilities,
	bool modelFeaturesOnly
)

Parameters

features  Matrix<T>
A matrix containing the values for the independent variables.
probabilities  Matrix<Double>
A matrix that is to hold the result.
modelFeaturesOnly  Boolean
Specifies whether features includes only features that appear in the fitted model.

Return Value

Matrix<Double>
A matrix whose rows contain the probabilities that the observation in the corresponding row of features belongs to each class.

Exceptions

ArgumentNullExceptionfeatures is null.
DimensionMismatchException

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

ClassificationModel<T>.PredictProbabilitiesCore(Vector<T>, Vector<Double>, Boolean)

Predicts the probabilities of each class based on the specified values of the features.
C# 
protected abstract Vector<double> PredictProbabilitiesCore(
	Vector<T> features,
	Vector<double> probabilities,
	bool modelFeaturesOnly
)

Parameters

features  Vector<T>
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

ArgumentNullExceptionfeatures is null.
DimensionMismatchException

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

See Also