rpf_marshal() converts an rpf object into a plain R list safe for
saveRDS(); rpf_unmarshal() reverses it. The C++ forest behind an rpf
object does not survive R serialization, so this explicit round-trip is
required to store or transfer fitted models.
Usage
rpf_marshal(x, include_data = FALSE)
rpf_unmarshal(blob)
Arguments
- x
[rpf]: A fitted rpf model.
- include_data
[logical(1): FALSE]: Store training data in the blob, enabling
purify() after restoring.
- blob
[rpf_marshaled]: Object created by rpf_marshal().
Value
rpf_marshal() returns a list of class rpf_marshaled;
rpf_unmarshal() returns an object of class rpf.
Details
Training data is only included with include_data = TRUE; without it, a
restored forest can predict (including purified prediction if the forest
was purified before marshaling) but can never be purified afterwards.
Examples
fit <- rpf(mpg ~ wt + cyl, data = mtcars, ntrees = 10)
blob <- rpf_marshal(fit)
tmp <- tempfile(fileext = ".rds")
saveRDS(blob, tmp)
restored <- rpf_unmarshal(readRDS(tmp))
all.equal(predict(fit, mtcars), predict(restored, mtcars))
#> [1] TRUE