Nothing
get.base.learner <- function(interact.depth = 2,
interact.rule = c("multiplication", "division", "addition", "subtraction"),
synthetic.depth = 0,
dim.reduce = TRUE) {
## No verificiation is done here, or before conveyance to the
## native code. So be careful.
## When augmentation is of the interaction type, interact.depth is
## the number of sub-terminal nodes grown to
## determine interactions. Thus, a value of 2 or greater is
## necessary for interactions. The number of interactions considered is interact.depth - 1.
## This does not guarantee
## that there will be interactions. It is just a pre-requisite.
## When augmentation is of the synthetic type, synthetic.depth is the
## number of sub-terminal nodes in the sub-tree that is grown to
## determine the synthetic x-variable. Thus, a value of 2 or
## great is necessary for synthetic interactions.
## Don't mess with the order here. The matching of position is relevant to the C-side code.
valid.rule <- c("multiplication", "division", "addition", "subtraction")
rule <- match.arg(interact.rule, valid.rule)
base.learner <- list(as.integer(interact.depth), as.integer(which(valid.rule == rule)), as.integer(synthetic.depth), as.integer(dim.reduce))
names(base.learner) = c("interact.depth", "learner.rule", "synthetic.depth", "dim.reduce")
class(base.learner) = "base.learner"
return (base.learner)
}
get.lot <- function(hdim = 5, treesize = function(x){min(50, x * .25)}, lag = 8, strikeout = 3) {
## The size of tree can be specified as a function or an integer.
## If a function is specified, it MUST be processed downstream and
## converted to an integer before passing the lot object into the
## native code.
if (!is.function(treesize) && !is.numeric(treesize)) {
stop("treesize must be a function or number specifying size of tree")
}
else {
if (is.function(treesize)) {
lot = list(as.integer(hdim), treesize, as.integer(lag), as.integer(strikeout))
}
if (is.numeric(treesize)) {
lot = list(as.integer(hdim), as.integer(treesize), as.integer(lag), as.integer(strikeout))
}
}
names(lot) = c("hdim", "treesize", "lag", "strikeout")
class(lot) = "lot"
return (lot)
}
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