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TST use global_random_seed in sklearn/_loss/tests/test_glm_distribution.py #23741

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Merged
merged 1 commit into from
Jun 23, 2022
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TST use global_random_seed in sklearn/_loss/tests/test_glm_distribution.py #23741

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6 changes: 3 additions & 3 deletions sklearn/_loss/tests/test_glm_distribution.py
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Original file line number Diff line number Diff line change
Expand Up @@ -101,9 +101,9 @@ def test_deviance_zero(family, chk_values):
],
ids=lambda x: x.__class__.__name__,
)
def test_deviance_derivative(family):
def test_deviance_derivative(family, global_random_seed):
"""Test deviance derivative for different families."""
rng = np.random.RandomState(0)
rng = np.random.RandomState(global_random_seed)
y_true = rng.rand(10)
# make data positive
y_true += np.abs(y_true.min()) + 1e-2
Expand All @@ -120,4 +120,4 @@ def test_deviance_derivative(family):
lambda y_pred: family.deviance_derivative(y_true, y_pred),
y_pred,
) / np.linalg.norm(dev_derivative)
assert abs(err) < 1e-6
assert abs(err) < 3e-6