pbdXGB: Programming with Big Data -- Extreme Gradient Boosting

An pbdR 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.

Source: pbdXGB_0.90.0.2.tar.gz    Archive

Author Wei-Chen Chen [aut, cre] (pbdXGB and MPI C implementation), Drew Schmidt [aut] (pbdXGB examples and rabit C api), Tianqi Chen [aut] (xgboost implementation), Tong He [aut] (xgboost implementation), xgboost R authors and contributors [cph] (some functions are modified from xgboost package), XGBoost contributors [cph] (base XGBoost implementation), R Core team [ctb] (some functions are modified from R)
Maintainer Wei-Chen Chen <wccsnow@gmail.com>
License Apache License (== 2.0) | file LICENSE
Depends R (>= 3.6.0), xgboost, pbdMPI
Imports Matrix, stringi, methods, stats, data.table
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.
Compiled? yes
URL http://r-pbd.org/
BugReports https://github.com/snoweye/pbdXGB/issues