BaseHiddenMarkovClassifierTModel, TDistribution, TObservationLogLikelihoods Method (TObservation, 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.Statistics.Models.Markov
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public override double[] LogLikelihoods(
	TObservation[] input,
	out int decision,
	double[] result
)

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

input: Type: TObservation
A set of input vectors.
decision: Type: SystemInt32
The decided class for the input.
result: Type: SystemDouble
An array where the probabilities will be stored, avoiding unnecessary memory allocations.

Type: Double