xgb2sql

This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 'XGBoost' https://xgboost.readthedocs.io/en/latest/index.html 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.

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