library(CRFutil)
# Put together known MRF model and get a sample from it:
grphf <- ~A:B + B:C + C:A
gp <- ug(grphf, result = "graph")
adj <- ug(grphf, result="matrix")
# Make up some potentials and get a sample of size 100:
num.samps <- 100
n.states <- 2
tri.modl <- sim.field.random(adjacentcy.matrix=adj, num.states=n.states, num.sims=num.samps, seed=NULL)
samps <- tri.modl$samples
known.model <- tri.modl$model
mrf.sample.plot(samps)
# Extract parameter vector:
known.model$par <- make.par.from.potentials(known.model)
# Scale the potentials to conform with the parameter vector:
rescaled.pots <- make.pots(known.model$par, known.model, rescaleQ=FALSE, replaceQ=T, printQ=F)
pot.info <- make.gRbase.potentials(known.model, node.names = gp@nodes)
s1<-1
s2<-2
f0 <- function(y){ as.numeric(c((y==1),(y==2)))} # Feature function
#What nodes are associated with what parameter?
nodes2params.list(known.model, storeQ = T)
#
en.result <- NULL
for(i in 1: num.samps) {
samp.num <- i
phi.Xn <- phi.features(
config = samps[samp.num,],
edges.mat = known.model$edges,
node.par = known.model$node.par,
edge.par = known.model$edge.par,
ff = f0
)
for(j in 1:ncol(samps)) {
elem.num <- j
en.Xn.i <- conditional.config.energy(config = samps[samp.num,],
condition.element.number = elem.num,
adj.node.list = known.model$adj.nodes,
edge.mat = known.model$edges,
one.lgp = pot.info$node.energies,
two.lgp = pot.info$edge.energies,
ff = f0,
printQ = F)
en.phi.i.j <- known.model$par[ known.model$nodes2pars[[elem.num]] ] %*% phi.Xn[ known.model$nodes2pars[[elem.num]] ]
#print(paste("samp#=",i,"ele#=",j,"Formula.1=",en.Xn.i,"Formula.2=",en.phi.i.j, "Delta=", en.Xn.i - en.phi.i.j))
en.result <- rbind(en.result, c(i,j,en.Xn.i,en.phi.i.j, en.Xn.i - en.phi.i.j))
}
}
en.result
en.result[,5]
samp.num <- 2
elem.num <- 3
conditional.config.energy2(config = samps[samp.num,], condition.element.number = elem.num, crf = known.model, ff = f0)
conditional.config.energy(config= samps[samp.num,],condition.element.number = elem.num,adj.node.list= known.model$adj.nodes,edge.mat= known.model$edges,one.lgp= pot.info$node.energies,two.lgp= pot.info$edge.energies,ff= f0,printQ= F)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.