Convert Trained 'XGBoost' Model to SQL Query

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) , and more details on 'XGBoost' can be found in Chen & Guestrin (2016) .


Reference manual

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0.1.2 by Chengjun Hou, 3 years ago

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Browse source code at

Authors: Chengjun Hou [aut, cre] , Abhishek Bishoyi [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports xgboost, data.table

Suggests ggplot2, knitr, rmarkdown

See at CRAN