Convert Trained 'XGBoost' Model to SQL Query R package xgb2sql version 0.1.3 CRAN Task View: Databases (https://CRAN.R-project.org/view=Databases) 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>. Software Depends: R (>= 3.1.0) Imports: xgboost (>= 3.1.2.1), data.table (>= 1.12.0) Suggests: ggplot2, knitr, rmarkdown Chengjun Hou <chengjun.hou@gmail.com> Comprehensive R Archive Network (CRAN) Chengjun Hou [aut, cre], Abhishek Bishoyi [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=xgb2sql/LICENSE) 2025-12-12 application/tgz https://CRAN.R-project.org/package=xgb2sql doi:10.32614/CRAN.package.xgb2sql