saveForest: Save Random Forests

In jatherrien/largeRCRF: Large Random Competing Risks Forests

Description

Saves a random forest for later use, given that the base R save function doesn't work for this package.

Usage

saveForest(forest, directory, overwrite = FALSE)

Arguments

forest	The forest to save.
directory	The directory that should be created to save the trees in. Note that if the directory already exists, an error will be displayed unless overwrite is set to TRUE.
overwrite	Should the function overwrite an existing forest; FALSE by default.

See Also

train, loadForest

Examples

# Regression Example
x1 <- rnorm(1000)
x2 <- rnorm(1000)
y <- 1 + x1 + x2 + rnorm(1000)

data <- data.frame(x1, x2, y)
forest <- train(y ~ x1 + x2, data,
 ntree=100, numberOfSplits = 5, mtry = 1, nodeSize = 5)

saveForest(forest, "saved_forest")
new_forest <- loadForest("saved_forest")

jatherrien/largeRCRF documentation built on Nov. 15, 2019, 7:16 a.m.