DESCRIPTION

Package: pbdXGB
Title: Programming with Big Data -- Extreme Gradient Boosting for Distributed Learning
Version: 0.90.0.2
Date: 2020-02-15
Authors@R: c(
  person("Wei-Chen", "Chen", role = c("aut", "cre"),
         email = "wccsnow@gmail.com",
         comment = "pbdXGB and MPI C implementation"),
  person("Drew", "Schmidt", role = "aut",
         comment = "pbdXGB examples and rabit C api"),
  person("Tianqi", "Chen", role = c("aut"),
         comment = "xgboost implementation"),
  person("Tong", "He", role = c("aut"),
         comment = "xgboost implementation"),
  person("xgboost R authors and contributors", role = c("cph"),
         comment = "some functions are modified from xgboost package"),
  person("XGBoost contributors", role = c("cph"),
         comment = "base XGBoost implementation"),
  person("R Core team", role = "ctb",
         comment = "some functions are modified from R")
  )
Depends: R (>= 3.6.0), xgboost, pbdMPI
Imports: Matrix, stringi, methods, stats, data.table
LazyLoad: yes
LazyData: yes
Description: An pbdR <https://pbdr.org> interface to xgboost with MPI C library.
        This package only retains main functions of xgboost but aims
        for computing performance to obtain results using distributed
        computation via pbdMPI. This package uses Single
        Program/Multiple Data ('SPMD') parallel programming style that
        is intended for batch parallel execution on clusters or HPC resources.
SystemRequirements: OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
        FreeBSD. MS-MPI (Microsoft MPI v7.1 (SDK) and Microsoft HPC
        Pack 2012 R2 MS-MPI Redistributable Package) on Windows.
License: Apache License (== 2.0) | file LICENSE
URL: http://r-pbd.org/
BugReports: https://github.com/snoweye/pbdXGB/issues
MailingList: Please send questions and comments regarding pbdR to
        RBigData@gmail.com
NeedsCompilation: yes
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
RoxygenNote: 7.0.2