def _run_smac(tmp_dir, basename, time_for_task, ml_memory_limit,
data_manager_path, configspace_path, initial_configurations,
per_run_time_limit, watcher, log_function):
task_name = 'runSmac'
watcher.start_task(task_name)
# = Create an empty instance file
instance_file = os.path.join(tmp_dir, 'instances.txt')
_write_file_with_data(instance_file, 'holdout', 'Instances', log_function)
# = Start SMAC
time_smac = max(0, time_for_task - watcher.wall_elapsed(basename))
log_function('Start SMAC with %5.2fsec time left' % time_smac)
proc_smac, smac_call = \
submit_process.run_smac(dataset_name=basename,
dataset=data_manager_path,
tmp_dir=tmp_dir,
searchspace=configspace_path,
instance_file=instance_file,
limit=time_smac,
cutoff_time=per_run_time_limit,
initial_challengers=initial_configurations,
memory_limit=ml_memory_limit,
seed=get_auto_seed())
log_function(smac_call)
watcher.stop_task(task_name)
return proc_smac
def _run_ensemble_builder(tmp_dir,
output_dir,
basename,
time_for_task,
task,
metric,
ensemble_size,
ensemble_nbest,
ensemble_indices_dir,
watcher,
log_function):
task_name = 'runEnsemble'
watcher.start_task(task_name)
time_left_for_ensembles = max(0, time_for_task - watcher.wall_elapsed(
basename))
log_function(
'Start Ensemble with %5.2fsec time left' % time_left_for_ensembles)
proc_ensembles = submit_process.run_ensemble_builder(
tmp_dir=tmp_dir,
dataset_name=basename,
task_type=task,
metric=metric,
limit=time_left_for_ensembles,
output_dir=output_dir,
ensemble_size=ensemble_size,
ensemble_nbest=ensemble_nbest,
seed=get_auto_seed(),
ensemble_indices_output_dir=ensemble_indices_dir
)
watcher.stop_task(task_name)
return proc_ensembles
