loadForest: Load Random Forest

In jatherrien/largeRCRF: Large Random Competing Risks Forests

Description

Loads a random forest that was saved using saveForest.

Usage

loadForest(directory, forest.output = c("online", "offline"),
  maxTreeNum = NULL)

Arguments

directory	The directory created that saved the previous forest.
forest.output	Specifies whether the forest loaded should be loaded into memory, or reflect the saved files where only one tree is loaded at a time.
maxTreeNum	If for some reason you only want to load the number of trees up until a certain point, you can specify maxTreeNum as a single number.

Value

A JForest object; see train for details.

See Also

train, saveForest

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, "trees")
new_forest <- loadForest("trees")

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