MulticlassLikelihoodClassifierBaseTInputLogLikelihoods Method (TInput, Double, Double)

Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class.

Namespace: Accord.MachineLearning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public double[][] LogLikelihoods(
	TInput[] input,
	ref double[] decision,
	double[][] result
)

Public Function LogLikelihoods ( 
	input As TInput(),
	ByRef decision As Double(),
	result As Double()()
) As Double()()

input: Type: TInput
A set of input vectors.
decision: Type: SystemDouble
The labels predicted by the classifier.
result: Type: SystemDouble
An array where the log-likelihoods will be stored, avoiding unnecessary memory allocations.

Type: Double