Make training test less flakey
@@ -56,7 +56,7 @@ def test_issue999(train_data):
for _, offsets in train_data:
for start, end, ent_type in offsets:
nlp.entity.add_label(ent_type)
- for itn in range(10):
+ for itn in range(100):
random.shuffle(train_data)
for raw_text, entity_offsets in train_data:
doc = nlp.make_doc(raw_text)
