Nothing
"SnapPath" <-
function(step,x, y,f, alpha, alpha0, lambda, Elbow, kernel.function,param.kernel, linear.plot,Size=60,movie=FALSE,movie.root="./",...)
{
if(movie)jpeg(filename=paste(movie.root,step,".jpg",sep=""),quality=90,width=540,height=540,bg="wheat",...)
stats<-StatPath(y,f,Elbow)
###only for 2 dim inputs
x <- x[, 1:2]
n<-length(y)
ss<-abs(diff(range(x[,2])))
soffset<-x*0
soffset[,2]<-ss/50
x <- x[, 1:2]
if(!linear.plot){
xr <- apply(x, 2, range)
xg <- apply(xr, 2, function(x, Size)
seq(from = x[1], to = x[2], length = Size), Size)
xG <- data.matrix(expand.grid(as.list(data.frame(xg))))
Knew <- kernel.function(x, xG, param.kernel=param.kernel,...)
fhat <- ((alpha * y) %*% Knew + alpha0)/lambda
fhat <- matrix(fhat, Size, Size)
}
plot(x[, ], type = "n",xlab="X1",ylab="X2")
title(paste(" Step: ",format(step,digits=3)," Error:",format(round(stats$error),digits=3), " Elbow Size:",format(round(stats$selbow),digits=2)," Sum Eps:",format(round(stats$margin,2),digits=7)),adj=0)
pointid <- seq(y)
points(x[y == 1, ], col = 2,pch="*",cex=2)
points(x[y == -1, ], col = 4,pch="*",cex=2)
if(n<15)text((x-soffset)[y == 1, ], labels = paste(pointid[y == 1]), col = 2)
if(n<15)text((x-soffset)[y == -1, ], labels = paste(pointid[y == -1]), col = 4)
if(n<15&&length(Elbow))text((x-soffset)[Elbow, ], labels = paste(pointid[Elbow]), col = 3)
if(linear.plot){
beta <- (alpha * y) %*% x
abline( - alpha0/beta[2], - beta[1]/beta[2], col = 3, lwd = 3)
abline(lambda/beta[2] - alpha0/beta[2], - beta[1]/beta[2], col = 3,
lwd = 2, lty = 3)
abline( - lambda/beta[2] - alpha0/beta[2], - beta[1]/beta[2], col = 3,
lwd = 2, lty = 3)
}
else{
contour(xg[, 1], xg[, 2], fhat, levels = 0, add = TRUE, labels = "",col=3,lwd=3)
contour(xg[, 1], xg[, 2], fhat, levels = c(-1,1), add = TRUE, labels = c("",""),col=3,lwd=2,lty=3)
}
if(movie)dev.off()
invisible()
}
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