AppliedDataSciencePartners/xgboostExplainer: XGBoost Model Explainer
Version 0.1

XGBoost is a very successful machine learning package based on boosted trees. This package allows the predictions from an xgboost model to be split into the impact of each feature, making the model as transparent as a linear regression or decision tree.

Getting started

Package details

AuthorDavid Foster <[email protected]>
MaintainerDavid Foster <[email protected]>
LicenseGPL-3
Version0.1
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("AppliedDataSciencePartners/xgboostExplainer")
AppliedDataSciencePartners/xgboostExplainer documentation built on Dec. 7, 2017, 2:10 p.m.