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


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install.packages("xgb2sql")

0.1.2 by Chengjun Hou, a month ago


https://github.com/chengjunhou/xgb2sql


Report a bug at https://github.com/chengjunhou/xgb2sql/issues


Browse source code at https://github.com/cran/xgb2sql


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