BinaryLikelihoodClassifierBaseTInputLogLikelihood Method (TInput, Double, Double)

Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class.

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

Syntax

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

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

input: Type: TInput
A set of input vectors.
decision: Type: SystemDouble
The class labels associated with each input vector, as predicted by the classifier. If passed as null, the classifier will create a new array.
result: Type: SystemDouble
An array where the log-likelihoods will be stored, avoiding unnecessary memory allocations.

Type: Double
System.Double[].