get_tree: Fetches a decision tree

In fastAdaboost: a Fast Implementation of Adaboost

Description

returns a single weak decision tree classifier which is part of the strong classifier

Usage

get_tree(object, tree_num)

Arguments

object	object of class adaboost
tree_num	integer describing the tree to get

Details

returns an individual tree from the adaboost object This can provide the user with some clarity on the individual building blocks of the strong classifier

Value

object of class rpart

See Also

adaboost

Examples

fakedata <- data.frame( X=c(rnorm(100,0,1),rnorm(100,1,1)), Y=c(rep(0,100),rep(1,100) ) )
fakedata$Y <- factor(fakedata$Y)
test_adaboost <- adaboost(Y~X, fakedata, 10)
tree <- get_tree(test_adaboost,5)

Example output

fastAdaboost documentation built on May 2, 2019, 3:33 p.m.