funGp (version 0.2.2)

plotEvol: Plot for the evolution of model selection algorithm

Description

This method displays the evolution of an iterative algorithm for model selection.

Usage

plotEvol(x.model, ...)

Arguments

x.model

an object containing the data structures returned by the model selection algorithm.

...

additional arguments affecting the plot.

Value

None.

See Also

* plotEvol for a plot on the evolution of the model selection algorithm in fgpm_factory.

Examples

# NOT RUN {
require(funGp) # a package with a plotEvol method implemented

# generating input and output data
set.seed(100)
n.tr <- 2^5
sIn <- expand.grid(x1 = seq(0,1,length = n.tr^(1/5)), x2 = seq(0,1,length = n.tr^(1/5)),
                   x3 = seq(0,1,length = n.tr^(1/5)), x4 = seq(0,1,length = n.tr^(1/5)),
                   x5 = seq(0,1,length = n.tr^(1/5)))
fIn <- list(f1 = matrix(runif(n.tr*10), ncol = 10), f2 = matrix(runif(n.tr*22), ncol = 22))
sOut <- fgp_BB7(sIn, fIn, n.tr)
# }
# NOT RUN {
# optimizing the model structure with fgpm_factory (~5 seconds)
xm <- fgpm_factory(sIn = sIn, fIn = fIn, sOut = sOut)

# assessing the evolution of the algorihtm
plotEvol(xm)
# }
# NOT RUN {
# }