tune.control
to be used with
the
tune
function, containing various control parameters.
tune.control(random = FALSE, nrepeat = 1, repeat.aggregate = min, sampling = c("cross", "fix", "bootstrap"), sampling.aggregate = mean, cross = 10, fix = 2/3, nboot = 10, boot.size = 9/10, best.model = TRUE, performances = TRUE)
random
parameter vectors are drawn from the parameter space.
sampling = "cross"
, a
cross
-times cross validation is performed. If
sampling
= "boot"
,
nboot
training sets of size
boot.size
(part)
are sampled from the supplied data. If
sampling
= "fix"
, a single split into training/validation set is
used, the training set containing a
fix
part of the supplied
data. Note that a separate validation set can be supplied via
validation.x
and
validation.y
. It is only used for
sampling = "boot"
and
sampling = "fix"
; in the latter
case,
fix
is set to 1.
TRUE
, the best model is trained and
returned (the best parameter set is used for
training on the complete training set).
TRUE
, the performance results for all
parameter combinations are returned.
"tune.control"
containing all the above
parameters (either the defaults or the user specified values).
David Meyer
mailto:David.Meyer@R-project.org