xgb2sql

This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. '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.