person("Guolin", "Ke", email = "guolin.ke@microsoft.com", role = c("aut", "cre")),
person("Guolin", "Ke", email = "guolin.ke@microsoft.com", role = c("aut", "cre")),
person("Damien", "Soukhavong", email = "damien.soukhavong@skema.edu", role = c("ctb")),
person("Damien", "Soukhavong", email = "damien.soukhavong@skema.edu", role = c("ctb")),
person("Yachen", "Yan", role = c("ctb")),
person("Yachen", "Yan", role = c("ctb")),
person("James", "Lamb", email="james.lamb@uptake.com", role = c("ctb"))
person("James", "Lamb", email="jaylamb20@gmail.com", role = c("ctb"))
)
)
Description: Tree based algorithms can be improved by introducing boosting frameworks. LightGBM is one such framework, and this package offers an R interface to work with it.
Description: Tree based algorithms can be improved by introducing boosting frameworks. LightGBM is one such framework, and this package offers an R interface to work with it.
It is designed to be distributed and efficient with the following advantages:
It is designed to be distributed and efficient with the following advantages:
