parallelism_choices

distributed_only

internal

A general-purpose computational engine for data analysis,
drake rebuilds intermediate data objects when their dependencies change,
and it skips work when the results are already up to date.
Not every execution starts from scratch,
there is native support for parallel and distributed computing,
and completed projects have tangible evidence
that they are reproducible.
Extensive documentation, from beginner-friendly tutorials
to practical examples and more, is available at the reference website
<https://ropensci.github.io/drake/> and the online manual
<https://ropenscilabs.github.io/drake-manual/>.

Landau William

drake

A Pipeline Toolkit for Reproducible Computation at Scale

Alex Axthelm

Jasper Clarkberg

Kirill M<c3><bc>ller

Ben Bond-Lamberty

Tristan Mahr

Miles McBain

Ben Marwick

Peter Slaughter

 Eli Lilly and Company

parallelism_choices function

Deprecated — parallelism_choices

Deprecated

parallelism_choices: Deprecated

Description

Usage

Arguments

Value

Examples