buildRF builds a model using the randomForest function
from the randomForest package.
buildRF(object, top = 0, ...)Specifies the ExprsArray object to use as a training set
for classification.
A numeric scalar or character vector. A numeric scalar indicates
the number of top features that should undergo feature selection. A character vector
indicates specifically which features by name should undergo feature selection.
Set top = 0 to include all features. A numeric vector can also be used
to indicate specific features by location, similar to a character vector.
Arguments passed to the detailed function.
Returns an ExprsModel object.