Description Usage Arguments Value Examples
Random partitioning
1 2 | random.partitions(mld, is.cv = FALSE, r, seed = 10,
get.indices = FALSE)
|
mld |
The |
is.cv |
Option to enable treatment of partitions as cross-validation test folds |
r |
A vector of percentages of instances to be selected for each partition |
seed |
The seed to initialize the random number generator. By default is 10. Change it if you want to obtain partitions containing different samples, for instance to use a 2x5 fcv strategy |
get.indices |
A logical value indicating whether to return lists of indices or lists of |
An mldr.folds
object. This is a list containing k elements, one for each fold. Each element is made up
of two mldr objects, called train
and test
1 2 3 4 5 6 7 |
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