HiddenMarkovClassifierLearningTDistribution, TObservationCreate Method

Creates an instance of the model to be learned. Inheritors of this abstract class must define this method so new models can be created from the training data.

Namespace: Accord.Statistics.Models.Markov.Learning
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

Copy

protected override HiddenMarkovClassifier<TDistribution, TObservation> Create(
	TObservation[][] x,
	int[] y,
	int numberOfClasses
)

Protected Overrides Function Create ( 
	x As TObservation()(),
	y As Integer(),
	numberOfClasses As Integer
) As HiddenMarkovClassifier(Of TDistribution, TObservation)

Request Example View Source

Parameters

x: Type: TObservation
y: Type: SystemInt32
numberOfClasses: Type: SystemInt32

Return Value

Type: HiddenMarkovClassifierTDistribution, TObservation

Reference

HiddenMarkovClassifierLearningTDistribution, TObservation Class

Accord.Statistics.Models.Markov.Learning Namespace

HiddenMarkovClassifierLearningAddLanguageSpecificTextSet("LST154951A7_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TDistribution, TObservationAddLanguageSpecificTextSet("LST154951A7_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)");AddLanguageSpecificTextSet("LST154951A7_2?cpp=::|nu=.");Create Method

Parameters

Return Value

Reference

HiddenMarkovClassifierLearningTDistribution, TObservationCreate Method