}))
stats.start_timing()
# To avoid the output "first run crashed"...
stats.submitted_ta_runs += 1
stats.finished_ta_runs += 1
memory_lim = memory_limit_factor * automl_arguments['memory_limit']
pipeline, run_info, run_value = automl.fit_pipeline(
X=X_train,
y=y_train,
X_test=X_test,
y_test=y_test,
resampling_strategy='test',
memory_limit=memory_lim,
disable_file_output=True,
logger=logger,
stats=stats,
scoring_functions=scoring_functions,
include=include,
metric=automl_arguments['metric'],
pynisher_context='spawn',
cutoff=per_run_time_limit * 3,
config=config,
)
if run_value.status == StatusType.SUCCESS:
assert len(
run_value.additional_info) > 1, run_value.additional_info
# print(additional_run_info)
