inverse_crit: TMSE criteria

In malekbs/UP: What the package does (short line)

Description

Compute the target mean squared error for a set of points of the design space

Usage

inverse_crit(x, model, target = 0.5, alpha = 0.1)

Arguments

x	points of the design space in which the criterion will be computed
model	the surrogate model
target	the target value
alpha	the value of the distance criteria default alpha = 0.001

Value

the value of the criterion

Examples

#' library(UP)
d            <- 2
n            <- 16
X            <- expand.grid(x1=s <- seq(0,1, length=5), x2=s)
Xtest	      <- expand.grid(x1=seq(0,1,length=6), x2=seq(0,1,length=6))
Y            <- apply(X, 1, branin)
upsm         <- UPSM$new(sm= krigingsm$new(), UP=UPClass$new(X,Y,Scale =TRUE))
crit         <- inverse_crit(x= t(Xtest), model=upsm) 
print(max(crit))

malekbs/UP documentation built on May 14, 2019, 8:05 a.m.