BaseViterbiLearningTTolerance Property

Gets or sets the maximum change in the average log-likelihood after an iteration of the algorithm used to detect convergence.

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

Syntax

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public double Tolerance { get; set; }

Public Property Tolerance As Double
	Get
	Set

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Property Value

Type: Double

Remarks

This is the likelihood convergence limit L between two iterations of the algorithm. The algorithm will stop when the change in the likelihood for two consecutive iterations has not changed by more than L percent of the likelihood. If left as zero, the algorithm will ignore this parameter and iterate over a number of fixed iterations specified by the previous parameter.

Reference

BaseViterbiLearningT Class

Accord.Statistics.Models.Markov.Learning Namespace

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Property Value

Reference

BaseViterbiLearningTTolerance Property