Example

library("mlr3")library("batchtools")library("mlr3batchmark")tasks= tsks(c("iris","sonar"))learners= lrns(c("classif.featureless","classif.rpart"))resamplings= rsmp("cv",folds=3)design= benchmark_grid(tasks=tasks,learners=learners,resamplings=resamplings)reg= makeExperimentRegistry(NA)

## No readable configuration file found## Created registry in '/tmp/RtmpbcuMc4/registry27b8961304f5da' using cluster functions 'Interactive'

ids= batchmark(design,reg=reg)

## Adding algorithm 'run_learner'## Adding problem 'abc694dd29a7a8ce'## Exporting new objects: '2da7eeb80b94fc3b' ...## Exporting new objects: 'c905990877a775af' ...## Exporting new objects: '3acc41a799a260d8' ...## Exporting new objects: 'ecf8ee265ec56766' ...## Overwriting previously exported object: 'ecf8ee265ec56766'## Adding 6 experiments ('abc694dd29a7a8ce'[1] x 'run_learner'[2] x repls[3]) ...## Adding problem 'f9791e97f9813150'## Exporting new objects: '62ac3bb85aabfbaf' ...## Adding 6 experiments ('f9791e97f9813150'[1] x 'run_learner'[2] x repls[3]) ...

submitJobs()

## Submitting 12 jobs in 12 chunks using cluster functions 'Interactive' ...## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)## Error in workhorse(iteration = job$repl, task = data, learner = learner,  : ##   unused argument (lgr_threshold = lgr::get_logger("mlr3")$threshold)

getStatus()

## Status for 12 jobs at 2025-05-26 09:23:22:##   Submitted    : 12 (100.0%)##   -- Queued    :  0 (  0.0%)##   -- Started   : 12 (100.0%)##   ---- Running :  0 (  0.0%)##   ---- Done    :  0 (  0.0%)##   ---- Error   : 12 (100.0%)##   ---- Expired :  0 (  0.0%)

reduceResultsBatchmark()

## ## ── <BenchmarkResult> of 0 rows with 0 resampling run ───────────────────────────

Resources