DESCRIPTION

Package: xgb2sql
Type: Package
Title: Convert Trained 'XGBoost' Model to SQL Query
Version: 0.1.2
Description: This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 
  'XGBoost' <https://github.com/dmlc/xgboost> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms
  in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, 
  and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Authors@R: c(
  person("Chengjun", "Hou", role = c("aut", "cre"), email = "chengjun.hou@gmail.com"),
  person("Abhishek", "Bishoyi", role = c("aut"), email = "abhishek.bishoyi@gmail.com")
  )
Author: Chengjun Hou [aut, cre], Abhishek Bishoyi [aut]
Maintainer: Chengjun Hou <chengjun.hou@gmail.com>
URL: https://github.com/chengjunhou/xgb2sql
BugReports: https://github.com/chengjunhou/xgb2sql/issues
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
  xgboost (>= 0.81.0.1),
  data.table (>= 1.12.0)
Suggests:
  ggplot2,
  knitr,
  rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr