HiddenConditionalRandomFieldFromHiddenMarkov Method (HiddenMarkovClassifierIndependentNormalDistribution, Double)

Creates a new HiddenConditionalRandomFieldT from the given classifier.

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

Syntax

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public static HiddenConditionalRandomField<double[]> FromHiddenMarkov(
	HiddenMarkovClassifier<Independent<NormalDistribution>, double[]> classifier
)

Public Shared Function FromHiddenMarkov ( 
	classifier As HiddenMarkovClassifier(Of Independent(Of NormalDistribution), Double())
) As HiddenConditionalRandomField(Of Double())

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Parameters

classifier: Type: Accord.Statistics.Models.MarkovHiddenMarkovClassifierIndependentNormalDistribution, Double
The classifier.

Return Value

Type: HiddenConditionalRandomFieldDouble
A HiddenConditionalRandomFieldT that implements exactly the same model as the given classifier.

Reference

HiddenConditionalRandomField Class

FromHiddenMarkov Overload

Accord.Statistics.Models.Fields Namespace