Changed default for parallel sampling
@@ -1001,7 +1001,7 @@ class SampleAugmenter(DataAnalyzer):
use_train_events=True,
test_split=0.2,
verbose="some",
- n_workers=None,
+ n_workers=1,
update_patience=0.1
):
"""
@@ -1043,7 +1043,7 @@ class SampleAugmenter(DataAnalyzer):
n_workers : None or int, optional
If None or larger than 1, MadMiner will use multiprocessing to parallelize the sampling. In this case,
- n_workers sets the number of jobs running in parallel, and None will use the number of CPUs.
+ n_workers sets the number of jobs running in parallel, and None will use the number of CPUs. Default value: 1.
update_patience : float, optional
Wait time between log updates with n_workers > 1 (or None).
