R: Control Parameters for the Tune Function

tune.control {e1071}

R Documentation

Control Parameters for the Tune Function

Description

Creates an object of class tune.control to be used with the tune function, containing various control parameters.

Usage

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)

Arguments

`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.

Value

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

Author(s)