millerjoey/mondrianforest: Build and Predict with Mondrian Forests

This package contains R functions that build and predict (classification only right now) with Mondrian Forests [Lakshminarayanan et al. 2014], an online machine learning model inspired by random forests. The package implements a few modifications to the original algorithm including a scheme to dummy-encode categorical variables and a faster ExtendMondrianBlock algorithm that retains online properties.

Getting started

Package details

Authorperson("Joseph", "Miller", email = c("arch1190@gmail.com", "jmiller@securonix.com"), role = c("aut", "cre"))
MaintainerJoseph Miller <arch1190@gmail.com>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("millerjoey/mondrianforest")
millerjoey/mondrianforest documentation built on May 25, 2019, 10:30 p.m.