A Parallel-Voting Algorithm for many Classifiers
By sampling your data, running the provided classifier on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular machine learning algorithm and possibly even more accurate predictions.

Unified interface to some popular parallelization back-ends for
interactive usage and package development.
Map over lists in parallel. Supports local, multicore, mpi
and BatchJobs mode. Allows "tagging" of the parallel operation
with a level name that can be later selected by the user to
switch on parallel execution for exactly this operation.
Bernd Bischl <bernd_bischl@gmx.net>, Michel Lang
<lang@statistik.tu-dortmund.de>
'autodetectCpus.R' 'batchjobs.R' 'displayErrorMessages.R'
'getExtraPackages.R' 'getOption.R' 'logging.R'
'parallelLibrary.R' 'parallelMap.R' 'parallelShowOptions.R'
'parallelStart.R' 'parallelStop.R' 'utils.R' 'zzz.R'
'parallelApply.R' 'parallelRegisterLevels.R'

testthat, parallel, Rmpi, BatchJobs (>= 1.2)

Unified interface to Some Popular Parallelization Back-ends for
Interactive Usage and Package Development
Bernd Bischl <bernd_bischl@gmx.net>, Michel Lang
<michellang@gmail.com>
BBmisc (>= 1.8), checkmate (>= 1.5.1), parallel

Unified Interface to Parallelization Back-Ends
Unified parallelization framework for multiple back-end,
designed for internal package and interactive usage.
The main operation is a parallel "map" over lists.
Supports local, multicore, mpi and BatchJobs mode.
Allows "tagging" of the parallel operation
with a level name that can be later selected by the user to
switch on parallel execution for exactly this operation.

c(person(given = "Bernd",
family = "Bischl",
role = c("cre", "aut"),
email = "bernd_bischl@gmx.net"),
person(given = "Michel",
family = "Lang",
role = "aut",
email = "michellang@gmail.com",
comment = c(ORCID = "0000-0001-9754-0393")))
Unified parallelization framework for multiple
back-end, designed for internal package and interactive usage.  The
main operation is parallel mapping over lists.  Supports 'local',
'multicore', 'mpi' and 'BatchJobs' mode.  Allows tagging of the
parallel operation with a level name that can be later selected by the
user to switch on parallel execution for exactly this operation.
BBmisc (>= 1.8), checkmate (>= 1.8.0), parallel, stats, utils
BatchJobs (>= 1.8), batchtools (>= 0.9.6), data.table, Rmpi,
testthat
Bernd Bischl [cre, aut],
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)