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>.

Total

376

Last month

288

Last week

66

Average per day

10

Daily downloads

Total downloads

Description file content

Package
xgb2sql
Type
Package
Title
Convert Trained 'XGBoost' Model to SQL Query
Version
0.1.2
Description
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) .
Author
Chengjun Hou [aut, cre], Abhishek Bishoyi [aut]
Maintainer
Chengjun Hou
URL
BugReports
https://github.com/chengjunhou/xgb2sql/issues
Depends
R (>= 3.1.0)
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
Imports
xgboost (>= 0.81.0.1), data.table (>= 1.12.0)
Suggests
ggplot2, knitr, rmarkdown
RoxygenNote
6.1.1
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-03-09 04:20:22 UTC; Chengjun
Repository
CRAN
Date/Publication
2019-03-13 13:50:03 UTC

install.packages('xgb2sql')

0.1.2

2 months ago

https://github.com/chengjunhou/xgb2sql

Chengjun Hou

MIT + file LICENSE

Depends on

R (>= 3.1.0)

Imports

xgboost (>= 0.81.0.1), data.table (>= 1.12.0)

Suggests

ggplot2, knitr, rmarkdown

Discussions