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Fix rare test_binary_input failure in Precision & Recall #2705

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6 changes: 3 additions & 3 deletions tests/ignite/metrics/test_precision.py
Original file line number Diff line number Diff line change
Expand Up @@ -127,9 +127,9 @@ def _test(y_pred, y, batch_size):
assert isinstance(pr.compute(), torch.Tensor if not average else float)
pr_compute = pr.compute().numpy() if not average else pr.compute()
sk_average_parameter = ignite_average_to_scikit_average(average, "binary")
assert precision_score(np_y, np_y_pred, average=sk_average_parameter, zero_division=0) == pytest.approx(
pr_compute
)
assert precision_score(
np_y, np_y_pred, average=sk_average_parameter, labels=[0, 1], zero_division=0
) == pytest.approx(pr_compute)

def get_test_cases():

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2 changes: 1 addition & 1 deletion tests/ignite/metrics/test_recall.py
Original file line number Diff line number Diff line change
Expand Up @@ -131,7 +131,7 @@ def _test(y_pred, y, batch_size):
assert isinstance(re.compute(), torch.Tensor if not average else float)
re_compute = re.compute().numpy() if not average else re.compute()
sk_average_parameter = ignite_average_to_scikit_average(average, "binary")
assert recall_score(np_y, np_y_pred, average=sk_average_parameter) == pytest.approx(re_compute)
assert recall_score(np_y, np_y_pred, average=sk_average_parameter, labels=[0, 1]) == pytest.approx(re_compute)

def get_test_cases():

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