is the number of bootstrap replicates, this corresponds with the number of trees to grow. To ensure that each observation is predicted a few times we have to select this number no too small. m = 500 is by default.
PPmethod
is the projection pursuit index to be optimized, options LDA or PDA, by default it is LDA.
lambda
a parameter for PDA index
size.p
proportion of random sample variables in each split.
parallel
logical condition, if it is TRUE then parallelize the function
cores
number of cores used in the parallelization
Value
data frame with trees_pp output for all the bootstraps samples.