make_savable: make_savable

In Rforestry: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability

make_savable

Description

When a 'foresty' object is saved and then reloaded the Cpp pointers for the data set and the Cpp forest have to be reconstructed

Usage

make_savable(object)

Arguments

object

an object of class 'forestry'

Value

A list of lists. Each sublist contains the information to span a tree.

Note

'make_savable' does not translate all of the private member variables of the C++ forestry object so when the forest is reconstructed with 'relinkCPP_prt' some attributes are lost. For example, 'nthreads' will be reset to zero. This makes it impossible to disable threading when predicting for forests loaded from disk.

Examples

set.seed(323652639)
x <- iris[, -1]
y <- iris[, 1]
forest <- forestry(x, y, ntree = 3, nthread = 2)
y_pred_before <- predict(forest, x)

forest <- make_savable(forest)

wd <- tempdir()
saveForestry(forest, filename = file.path(wd, "forest.Rda"))
rm(forest)

forest <- loadForestry(file.path(wd, "forest.Rda"))

y_pred_after <- predict(forest, x)

file.remove(file.path(wd, "forest.Rda"))

Rforestry documentation built on March 31, 2023, 11:33 p.m.