MulticlassLikelihoodClassifierBaseTInputLogLikelihood Method (TInput, Int32, Double)

Computes the log-likelihood that the given input vector belongs to the specified classIndex.

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

Syntax

public virtual double[] LogLikelihood(
	TInput[] input,
	int[] classIndex,
	double[] result
)

Public Overridable Function LogLikelihood ( 
	input As TInput(),
	classIndex As Integer(),
	result As Double()
) As Double()

input: Type: TInput
The input vector.
classIndex: Type: SystemInt32
The index of the class whose score will be computed.
result: Type: SystemDouble
An array where the log-likelihoods will be stored, avoiding unnecessary memory allocations.

Type: Double