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xgb2sql: 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) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Getting started
Browse package contents
Package details |
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| Author | Chengjun Hou [aut, cre], Abhishek Bishoyi [aut] |
| Maintainer | Chengjun Hou <chengjun.hou@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://github.com/chengjunhou/xgb2sql |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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