ISupervisedLearningRun 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,
	int[][] paths
)

Function Run ( 
	observations As Array(),
	paths As Integer()()
) As Double

Parameters

observations: Type: SystemArray
paths: Type: SystemInt32

Return Value

Type: Double

Remarks

Supervised learning problem. Given some training observation sequences O = {o1, o2, ..., oK} and sequence of hidden states H = {h1, h2, ..., hK} and general structure of HMM (numbers of hidden and visible states), determine HMM parameters M = (A, B, pi) that best fit training data.

Reference

ISupervisedLearning Interface

Accord.Statistics.Models.Markov.Learning Namespace

ISupervisedLearningAddLanguageSpecificTextSet("LST32CC76B1_0?cpp=::|nu=.");Run Method

Parameters

Return Value

Reference

ISupervisedLearningRun Method