MulticlassLikelihoodClassifierBaseTInputLogLikelihoods Method (TInput, Int32, 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.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public virtual double[] LogLikelihoods(
	TInput input,
	out int decision,
	double[] result
)

Public Overridable Function LogLikelihoods ( 
	input As TInput,
	<OutAttribute> ByRef decision As Integer,
	result As Double()
) As Double()

input: Type: TInput
A set of input vectors.
decision: Type: SystemInt32
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 probabilities will be stored, avoiding unnecessary memory allocations.

Type: Double