belief.propagation | R Documentation |
Perform belief propagation for the network of an InferenceEngine, given a set of observations.
In the current version of bnstruct
, belief propagation can be computed only over a junction tree.
belief.propagation(ie, observations = NULL, return.potentials = FALSE) ## S4 method for signature 'InferenceEngine' belief.propagation(ie, observations = NULL, return.potentials = FALSE)
ie |
an |
observations |
list of observations, consisting in two vector, |
return.potentials |
if TRUE only the potentials are returned, instead of the default |
updated InferenceEngine
object.
## Not run: dataset <- BNDataset("file.header", "file.data") bn <- BN(dataset) ie <- InferenceEngine(bn) ie <- belief.propagation(ie) observations(ie) <- list("observed.vars"=("A","G","X"), "observed.vals"=c(1,2,1)) belief.propagation(ie) ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.