tune.wrapper: 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, class.weights = NULL, epsilon = NULL, ...)
best.svm(x, tunecontrol = tune.control(), ...)
 
tune.nnet(x, y = NULL, data = NULL, size = NULL, decay = NULL,
          trace = FALSE, tunecontrol = tune.control(nrepeat = 5), 
          ...)
best.nnet(x, tunecontrol = tune.control(nrepeat = 5), ...)
tune.rpart(formula, data, na.action = na.omit, minsplit = NULL,
           minbucket = NULL, cp = NULL, maxcompete = NULL, maxsurrogate = NULL,
           usesurrogate = NULL, xval = NULL, surrogatestyle = NULL, maxdepth =
           NULL, predict.func = NULL, ...)
best.rpart(formula, tunecontrol = tune.control(), ...)
tune.randomForest(x, y = NULL, data = NULL, nodesize = NULL, 
                  mtry = NULL, ntree = NULL, ...)
best.randomForest(x, tunecontrol = tune.control(), ...)
tune.gknn(x, y = NULL, data = NULL, k = NULL, ...)
best.gknn(x, tunecontrol = tune.control(), ...)
tune.knn(x, y, k = NULL, l = NULL, ...)

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.

Arguments

formula, x, y, data: formula and data arguments of function to be tuned.
predict.func: predicting function.
na.action: function handling missingness.
minsplit, minbucket, cp, maxcompete, maxsurrogate, usesurrogate, xval, surrogatestyle, maxdepth: rpart parameters.
degree, gamma, coef0, cost, nu, class.weights, epsilon: svm parameters.
k, l: (g)knn parameters.
mtry, nodesize, ntree: randomForest parameters.
size, decay, trace: parameters passed to nnet.
tunecontrol: object of class "tune.control" containing tuning parameters.
...: Further parameters passed to tune.

Author

David Meyer
David.Meyer@R-project.org

Details