Usage
nnetOptimisation(object, fcol = "markers", decay = c(0, 10^(-1:-5)), size = seq(1, 10, 2), times = 100, test.size = 0.2, xval = 5, fun = mean, seed, verbose = TRUE, ...)
Arguments
object
An instance of class "MSnSet"
.
fcol
The feature meta-data containing marker definitions.
Default is markers
.
decay
The hyper-parameter. Default values are c(0, 10^(-1:-5))
.
size
The hyper-parameter. Default values are seq(1, 10, 2)
.
times
The number of times internal cross-validation is performed.
Default is 100.
test.size
The size of test data. Default is 0.2 (20 percent).
xval
The n
-cross validation. Default is 5.
fun
The function used to summarise the xval
macro F1 matrices.
seed
The optional random number generator seed.
verbose
A logical
defining whether a progress bar is displayed.
...
Additional parameters passed to nnet
from package nnet
.