manage_memory

targets

<code><a rd-options="=drake_config" href="/link/drake_config()?package=drake&version=6.2.1&to=%3Ddrake_config" data-mini-rdoc="=drake_config::drake_config()">drake_config()</a></code> list

config

optional, character vector of any targets
assumed to be downstream.

downstream

number of jobs for local parallel computing

jobs

Load targets that you need to build the targets
and unload the ones you will never need again in the
current runthrough of the pipeline. This function should
not be used directly by users. Only exported for
internal reasons.

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 Marwick

Peter Slaughter

Ben Bond-Lamberty

 Eli Lilly and Company

manage_memory function

<code><a rd-options='=drake_config' href='drake_config()'>drake_config()</a></code> list

manage_memory: Manage in-memory targets

Description

Usage

Arguments

Value

Examples