IMultilabelOutLikelihoodClassifierTInput, TClassesLogLikelihoods Method (TInput, TClasses, Double)

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

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

Syntax

double[] LogLikelihoods(
	TInput input,
	out TClasses decision,
	double[] result
)

Function LogLikelihoods ( 
	input As TInput,
	<OutAttribute> ByRef decision As TClasses,
	result As Double()
) As Double()

input: Type: TInput
A set of input vectors.
decision: Type: TClasses
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 distances will be stored, avoiding unnecessary memory allocations.

Type: Double