Convenience Tuning Wrapper Functions

DESCRIPTION:

Convenience tuning wrapper functions, using tune.

USAGE:

tune.svm(x, y=NULL, data=NULL, degree=NULL, gamma=NULL, coef0=NULL,
         cost=NULL, nu=NULL, ...)
best.svm(x, tunecontrol=tune.control(), ...)

ARGUMENTS:

formula, x, y, data
formula and data arguments of function to be tuned.
predict.func
predicting function.
na.action
function handling missingness.
degree, gamma, coef0, cost, nu
svm parameters.
tunecontrol
object of class "tune.control" containing tuning parameters.
...
Further parameters passed to tune.

VALUE:

tune.foo() returns a tuning object including the best parameter set obtained by optimizing over the specified parameter vectors. best.foo() directly returns the best model, i.e. the fit of a new model using the optimal parameters found by tune.foo.

DETAILS:

For examples, see the help page of tune().

AUTHOR(S):

David Meyer
mailto:David.Meyer@R-project.org

SEE ALSO: