Package: xgb2sql
Type: Package
Title: Convert Trained 'XGBoost' Model to SQL Query
Version: 0.1.3
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
Imports: xgboost (>= 3.1.2.1), data.table (>= 1.12.0)
Suggests: ggplot2, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Config/pak/sysreqs: make
Repository: https://chengjunhou.r-universe.dev
Date/Publication: 2025-12-12 21:58:13 UTC
RemoteUrl: https://github.com/chengjunhou/xgb2sql
RemoteRef: HEAD
RemoteSha: db2503b0254a0daff54f98eb36a358240febfa97
NeedsCompilation: no
Packaged: 2026-09-20 08:21:28 UTC; root