batchMapResults: Maps a function over the results of a registry by using...

In BatchJobs: Batch Computing with R

Maps a function over the results of a registry by using batchMap.

Description

Maps a function over the results of a registry by using batchMap.

Usage

batchMapResults(
  reg,
  reg2,
  fun,
  ...,
  ids,
  part = NA_character_,
  more.args = list()
)

Arguments

reg	[Registry] Registry whose results should be mapped by fun.
reg2	[Registry] Empty registry that should store the job for the mapping.
fun	[function(job, res, ...)] Function to map over results of reg. Further arguments come from ... of batchMapResults and more.args.
...	[any] Furher arguments to vectorize over (list or vector). Must all be the same length as number of results in reg.
ids	[integer] Ids of jobs whose results should be mapped with fun. Default is all jobs.
part	[character] Only useful for multiple result files, then defines which result file part(s) should be loaded. NA means all parts are loaded, which is the default.
more.args	[list] A list of other arguments passed to fun. Default is empty list.

Value

Vector of type integer with job ids.

Examples

reg1 = makeRegistry(id = "BatchJobsExample1", file.dir = tempfile(), seed = 123)
# square some numbers
f = function(x) x^2
batchMap(reg1, f, 1:10)

# submit jobs and wait for the jobs to finish
submitJobs(reg1)
waitForJobs(reg1)

# look at results
reduceResults(reg1, fun = function(aggr,job,res) c(aggr, res))

reg2 = makeRegistry(id = "BatchJobsExample2", file.dir = tempfile(), seed = 123)

# define function to tranform results, we simply do the inverse of the squaring
g = function(job, res) sqrt(res)
batchMapResults(reg1, reg2, fun = g)

# submit jobs and wait for the jobs to finish
submitJobs(reg2)
waitForJobs(reg2)

# check results
reduceResults(reg2, fun = function(aggr,job,res) c(aggr, res))

BatchJobs documentation built on March 21, 2022, 5:05 p.m.