tune.control {e1071}R Documentation

control parameters for the tune function


Creates an object of class 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 if an integer value is specified, random parameter vectors are drawn from the parameter space.
nrepeat specifies how often training shall be repeated.
repeat.aggregate function for aggregating the repeated training results.
sampling sampling scheme. If 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.
sampling.aggregate function for aggregating the training results on the generated training samples.
cross number of partitions for cross-validation.
fix part of the data used for training in fixed sampling.
nboot number of bootstrap replications.
boot.size size of the bootstrap samples.
best.model if TRUE, the best model is trained and returned (the best parameter set is used for training on the complete training set).
performances if TRUE, the performance results for all parameter combinations are returned.


An object of class "tune.control" containing all the above parameters (either the defaults or the user specified values).


David Meyer

See Also


[Package e1071 version 1.5-2 Index]