trees_pred

0th

Percentile

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

Aliases
  • trees_pred
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)
# }
Documentation reproduced from package PPforest, version 0.1.1, License: GPL (>= 2)

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