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^CRAN-RELEASE$ | ||
^\.travis\.yml$ | ||
^.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
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Package: xgb2sql | ||
Type: Package | ||
Title: Convert Trained XGBoost Model to SQL Query | ||
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 <https://xgboost.readthedocs.io/en/latest/index.html> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms | ||
Description: 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>. | ||
and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. | ||
Authors@R: c( | ||
person("Chengjun", "Hou", role = c("aut", "cre"), email = "[email protected]"), | ||
person("Abhishek", "Bishoyi", role = c("aut"), email = "[email protected]") | ||
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