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test_numeric_stability can be parametrize with pytest #14220

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test_numeric_stability can be parametrize with pytest#14220
#14221
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EasyWell-defined and straightforward way to resolvegood first issueEasy with clear instructions to resolve
@thomasjpfan

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@thomasjpfan
thomasjpfan
opened on Jun 29, 2019

test_numeric_stability can be parametrize with pytest:

scikit-learn/sklearn/preprocessing/tests/test_discretization.py

Lines 138 to 146 in 3ab22f9

def test_numeric_stability():
X_init = np.array([2., 4., 6., 8., 10.]).reshape(-1, 1)
Xt_expected = np.array([0, 0, 1, 1, 1]).reshape(-1, 1)
# Test up to discretizing nano units
for i in range(1, 9):
X = X_init / 10**i
Xt = KBinsDiscretizer(n_bins=2, encode='ordinal').fit_transform(X)
assert_array_equal(Xt_expected, Xt)

(Using this as an example of how to contribute to scikit-learn for a talk)

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