IWeightedUnsupervisedLearningRun Method

Runs the learning algorithm.

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

Syntax

Copy

double Run(
	Array[] observations,
	double[] weights
)

Function Run ( 
	observations As Array(),
	weights As Double()
) As Double

Parameters

observations: Type: SystemArray
weights: Type: SystemDouble

Return Value

Type: Double

Remarks

Learning problem. Given some training observation sequences O = {o1, o2, ..., oK} and general structure of HMM (numbers of hidden and visible states), determine HMM parameters M = (A, B, pi) that best fit training data.

Reference

IWeightedUnsupervisedLearning Interface

Accord.Statistics.Models.Markov.Learning Namespace

IWeightedUnsupervisedLearningAddLanguageSpecificTextSet("LST41EEB7FE_0?cpp=::|nu=.");Run Method

Parameters

Return Value

Reference

IWeightedUnsupervisedLearningRun Method