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://github.com/dmlc/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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | xgb2sql_0.1.3.tar.gz |
51.0 KiB |
0.1.3 |
rolling linux/noble R-4.5 | xgb2sql_0.1.3.tar.gz |
50.9 KiB |
0.1.3 |
rolling source/ R- | xgb2sql_0.1.3.tar.gz |
25.3 KiB |
0.1.3 |
latest linux/jammy R-4.5 | xgb2sql_0.1.3.tar.gz |
51.0 KiB |
0.1.3 |
latest linux/noble R-4.5 | xgb2sql_0.1.3.tar.gz |
50.9 KiB |
0.1.3 |
latest source/ R- | xgb2sql_0.1.3.tar.gz |
25.3 KiB |
0.1.3 |
2026-04-26 source/ R- | xgb2sql_0.1.3.tar.gz |
25.3 KiB |
0.1.3 |
2026-04-23 source/ R- | xgb2sql_0.1.3.tar.gz |
25.3 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | xgb2sql_0.1.3.zip |
55.5 KiB |
0.1.2 |
2025-04-20 source/ R- | xgb2sql_0.1.2.tar.gz |
28.2 KiB |
Dependencies (latest)
Imports
- xgboost (>= 3.1.2.1)
- data.table (>= 1.12.0)