CRF (version 0.3-8)

infer.sample: Inference method using sampling

Description

Computing the partition function and marginal probabilities

Usage

infer.sample(crf, sample.method, ...)

Arguments

crf

The CRF

sample.method

The sampling method

...

The parameters for sample.method

Value

• This function will return a list with components:
• node.bel
  Node belief. It is a matrix with crf$n.nodes rows and crf$max.state columns.
• edge.bel
  Edge belief. It is a list of matrices. The size of list is crf$n.edges and the matrix i has crf$n.states[crf$edges[i,1]] rows and crf$n.states[crf$edges[i,2]] columns.
• logZ
  The logarithmic value of CRF normalization factor Z.

Details

Approximate inference using sampling (takes a sampling method as input)

Examples

library(CRF)
data(Small)
i <- infer.sample(Small$crf, sample.exact, 10000)