decode.tree: Decoding method for tree- and forest-structured graphs
In CRF: Conditional Random Fields

Computing the most likely configuration for CRF

1	decode.tree(crf)

crf

The CRF

Exact decoding for tree- and forest-structured graphs with max-product belief propagation

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

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

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

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