decode.icm: Decoding method using iterated conditional modes algorithm
In CRF: Conditional Random Fields

Computing the most likely configuration for CRF

1	decode.icm(crf, restart = 0, start = apply(crf$node.pot, 1, which.max))

`crf`	The CRF
`restart`	Non-negative integer to control how many restart iterations are repeated
`start`	An initial configuration, a good start will significantly reduce the seraching time

Approximate decoding with the iterated conditional modes algorithm

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

1
2
3

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

CRF documentation built on Dec. 1, 2019, 3:02 a.m.

CRF index

Package overview README.md CRF Tutorial CRF Tutorial

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description