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")),
person(given = "Patrick",
family = "Schratz",
role = "aut",
email = "patrick.schratz@gmail.com",
comment = c(ORCID = "0000-0003-0748-6624")))
BatchJobs (>= 1.8), batchtools (>= 0.9.6), data.table, Rmpi,
rpart, snow, testthat
Bernd Bischl [cre, aut],
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)

'Htmlwidget' for a Parallel Coordinates Plot
c(
person("Mike", "Bostock", role = c("aut", "cph"), comment = "d3.js library in htmlwidgets/lib, http://d3js.org"),
person("David", "Chazalviel", email = "david.chazalviel@club-internet.fr", role = c("aut", "cre")),
person("Benoit", "Lehman", email = "benoit.lehman@tech-advantage.com", role = c("aut"))
)
Create a parallel coordinates plot, using 'htmlwidgets' package and 'd3.js'.
Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib,
http://d3js.org),
David Chazalviel [aut, cre],
Benoit Lehman [aut]

A Parallel Voting Version of Support Vector Machine
By sampling your data, running the Support Vector Machine algorithm 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 Support Vector Machine and possibly even more accurate predictions.

A Parallel-Voting Version of the Support-Vector-Machine
Algorithm
By sampling your data, running the Support-Vector-Machine algorithm 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 Support-Vector-Machine and possibly even more accurate predictions.

Automate parallelization of function calls by means of dynamic
code analysis
Passing a given function name or a call to the
parallelize/parallelize_call functions analyses and executes
the code, if possible in parallel. Parallel code execution can
be performed locally or on remote batch queuing systems.