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.
Package details |
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Author | person("Joseph", "Miller", email = c("arch1190@gmail.com", "jmiller@securonix.com"), role = c("aut", "cre")) |
Maintainer | Joseph Miller <arch1190@gmail.com> |
License | MIT + file LICENSE |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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