HiddenMarkovClassifierTDistribution, TObservation Constructor (Int32, ITopology, TDistribution, String)

public HiddenMarkovClassifier(
	int classes,
	ITopology[] topology,
	TDistribution initial,
	string[] names
)

Public Sub New ( 
	classes As Integer,
	topology As ITopology(),
	initial As TDistribution,
	names As String()
)

Parameters

classes

Type: SystemInt32
The number of classes in the classifier.

topology

Type: Accord.Statistics.Models.Markov.TopologyITopology
The topology of the hidden states. A forward-only topology is indicated to sequence classification problems, such as speech recognition.

initial

Type: TDistribution
The initial probability distributions for the hidden states. For multivariate continuous density distributions, such as Normal mixtures, the choice of initial values is crucial for a good performance.

names

Type: SystemString
The class labels for each of the models.

Reference