talegari/forager: Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data

Provides an extensible framework to compute various measures like proximity or dissimilarity between observations/trees, estimate outlyingness of an observation. An imputation technique is implemented under supervised and unsupervised setting. Currently, models from ranger and randomForest packages are supported.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("talegari/forager")
talegari/forager documentation built on June 27, 2018, 3:58 p.m.