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