trees_pred
From PPforest v0.1.1
by Natalia Silva
Obtain predicted class for new data from baggtree function or PPforest
Obtain predicted class for new data from baggtree function or PPforest
Usage
trees_pred(object, xnew, parallel = FALSE, cores = 2, ...)
Arguments
- object
Projection pursuit classification forest structure from PPforest or baggtree
- xnew
data frame with explicative variables used to get new predicted values.
- parallel
logical condition, if it is TRUE then parallelize the function
- cores
number of cores used in the parallelization
- ...
arguments to be passed to methods
Value
predicted values from PPforest or baggtree
Examples
# NOT RUN {
crab.trees <- baggtree(data = crab, class = 'Type',
m = 200, PPmethod = 'LDA', lambda = .1, size.p = 0.4 )
pr <- trees_pred( crab.trees,xnew = crab[, -1], parallel= FALSE, cores=2)
pprf.crab <- PPforest(data = crab, class = 'Type',
std = FALSE, size.tr = 2/3, m = 100, size.p = .4, PPmethod = 'LDA', parallel = TRUE )
trees_pred(pprf.crab, xnew = pprf.crab$test ,paralle = TRUE)
# }
Community examples
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