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>.
| Version: | 0.1.3 |
| Depends: | R (≥ 3.1.0) |
| Imports: | xgboost (≥ 3.1.2.1),data.table (≥ 1.12.0) |
| Suggests: | ggplot2,knitr,rmarkdown |
| Published: | 2025-12-12 |
| DOI: | 10.32614/CRAN.package.xgb2sql |
| Author: | Chengjun Hou [aut, cre], Abhishek Bishoyi [aut] |
| Maintainer: | Chengjun Hou <chengjun.hou at gmail.com> |
| BugReports: | https://github.com/chengjunhou/xgb2sql/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/chengjunhou/xgb2sql |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | xgb2sql results |
| Reference manual: | xgb2sql.html ,xgb2sql.pdf |
| Vignettes: | Deploy XGBoost Model as SQL Query (source,R code) |
| Package source: | xgb2sql_0.1.3.tar.gz |
| Windows binaries: | r-devel:xgb2sql_0.1.2.zip, r-release:xgb2sql_0.1.3.zip, r-oldrel:xgb2sql_0.1.3.zip |
| macOS binaries: | r-release (arm64):xgb2sql_0.1.3.tgz, r-oldrel (arm64):xgb2sql_0.1.3.tgz, r-release (x86_64):xgb2sql_0.1.3.tgz, r-oldrel (x86_64):xgb2sql_0.1.3.tgz |
| Old sources: | xgb2sql archive |
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