# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
runningBatchExperiments = function(setup) {
if(setup %nin% c("defaults", "tuning")) {
stopf("Setup option not valid: choose between \'defaults\' or \'tuning\'")
}
reg = makeExperimentRegistry(
id = paste0("hyperBot", R.utils::capitalize(setup)),
packages = c("ParamHelpers", "mlr", "OpenML"),
src.dirs = "R/"
)
# Resources (walltime = 8 hours, memory = 10GB)
res = list(walltime = 8*60*60, memory = 10*1024)
catf(" * Loading OML tasks ...")
tasks = getTaggedTasks(tag = "study_14")
df.tasks = getTaggedTasks(tag = "study_7")
# Running the tasks (with default) that were not run before
if(setup == "defaults") {
tasks = setdiff(tasks, df.tasks)
}
#just for test
tasks = tasks[1:3]
measures = c("predictive_accuracy",
"usercpu_time_millis_testing",
"usercpu_time_millis_training"
)
# Creating new jobs
new.jobs = settingExperiment(
reg = reg,
task.ids = tasks,
measures = measures,
setup = setup,
overwrite = TRUE,
repls = 1,
)
# Checking if is the first submission
if( length(findDone(reg)) == 0 ) {
catf(" * First execution of the experiments ...")
} else {
catf(" * There are remaining jobs or new ones ...")
}
# Running what is not done
all.jobs = setdiff(findNotDone(reg), findErrors(reg))
catf(" * Submitting all jobs ...")
submitJobs(reg = reg, ids = all.jobs, resources = res, job.delay = TRUE)
status = waitForJobs(reg = reg, ids = all.jobs)
catf(" * Done.")
}
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
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