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baguette

The goal of baguette is to provide efficient functions that can be used to create ensemble models via bagging.

Installation

For now:

devtools::install_github("tidymodels/baguette")

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Version

Install

install.packages('baguette')

Monthly Downloads

939

Version

0.0.1

License

MIT + file LICENSE

Issues

7

Pull Requests

0

Stars

28

Forks

9

Maintainer

Max Kuhn

Last Published

April 14th, 2020

Functions in baguette (0.0.1)

bag_tree

General Interface for Bagged Decision Tree Models
var_imp.bagger

Obtain variable importance scores
class_cost

Cost parameter for minority class
predict.bagger

Predictions from a bagged model
control_bag

Controlling the bagging process
reexports

Objects exported from other packages
bagger

Bagging functions
bag_mars

General Interface for Bagged MARS Models