trees_pred

From PPforest v0.1.1 by Natalia Silva

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)
# }

Documentation reproduced from package PPforest, version 0.1.1, License: GPL (>= 2)

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