decode.trbp: Decoding method using tree-reweighted belief propagation

In CRF: Conditional Random Fields

Description

Computing the most likely configuration for CRF

Usage

decode.trbp(crf, max.iter = 10000, cutoff = 1e-04, verbose = 0)

Arguments

crf	The CRF
max.iter	The maximum allowed iterations of termination criteria
cutoff	The convergence cutoff of termination criteria
verbose	Non-negative integer to control the tracing informtion in algorithm

Details

Approximate decoding using max-product tree-reweighted belief propagtion

Value

This function will return the most likely configuration, which is a vector of length crf$n.nodes.

Examples

library(CRF)
data(Small)
d <- decode.trbp(Small$crf)

CRF documentation built on Dec. 2, 2019, 1:11 a.m.