decode.tree: Decoding method for tree- and forest-structured graphs
In wulingyun/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)

wulingyun/CRF documentation built on Dec. 4, 2019, 2:58 p.m.

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