CRF0.4-3 package

Conditional Random Fields

clamp.crf

Make clamped CRF

clamp.reset

Reset clamped CRF

CRF-package

CRF - Conditional Random Fields

crf.nll

Calculate CRF negative log likelihood

crf.update

Update CRF potentials

decode.block

Decoding method using block iterated conditional modes algorithm

decode.chain

Decoding method for chain-structured graphs

decode.conditional

Conditional decoding method

decode.cutset

Decoding method for graphs with a small cutset

decode.exact

Decoding method for small graphs

decode.greedy

Decoding method using greedy algorithm

decode.icm

Decoding method using iterated conditional modes algorithm

decode.ilp

Decoding method using integer linear programming

decode.junction

Decoding method for low-treewidth graphs

decode.lbp

Decoding method using loopy belief propagation

decode.marginal

Decoding method using inference

decode.rbp

Decoding method using residual belief propagation

decode.sample

Decoding method using sampling

decode.trbp

Decoding method using tree-reweighted belief propagation

decode.tree

Decoding method for tree- and forest-structured graphs

duplicate.crf

Duplicate CRF

get.logPotential

Calculate the log-potential of CRF

get.potential

Calculate the potential of CRF

infer.chain

Inference method for chain-structured graphs

infer.conditional

Conditional inference method

infer.cutset

Inference method for graphs with a small cutset

infer.exact

Inference method for small graphs

infer.junction

Inference method for low-treewidth graphs

infer.lbp

Inference method using loopy belief propagation

infer.rbp

Inference method using residual belief propagation

infer.sample

Inference method using sampling

infer.trbp

Inference method using tree-reweighted belief propagation

infer.tree

Inference method for tree- and forest-structured graphs

make.crf

Make CRF

make.features

Make CRF features

make.par

Make CRF parameters

mrf.nll

Calculate MRF negative log-likelihood

mrf.stat

Calculate MRF sufficient statistics

mrf.update

Update MRF potentials

sample.chain

Sampling method for chain-structured graphs

sample.conditional

Conditional sampling method

sample.cutset

Sampling method for graphs with a small cutset

sample.exact

Sampling method for small graphs

sample.gibbs

Sampling method using single-site Gibbs sampler

sample.junction

Sampling method for low-treewidth graphs

sample.tree

Sampling method for tree- and forest-structured graphs

sub.crf

Make sub CRF

train.crf

Train CRF model

train.mrf

Train MRF model

Implements modeling and computational tools for conditional random fields (CRF) model as well as other probabilistic undirected graphical models of discrete data with pairwise and unary potentials.

  • Maintainer: Ling-Yun Wu
  • License: GPL (>= 2)
  • Last published: 2019-12-01