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Test for class_weights when using a dictionary and referring to an invalid class #8387

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Test for class_weights when using a dictionary and referring to an invalid class #8387

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14ae939
Update test_class_weight.py
MMeketon Feb 16, 2017
f049bf0
Update test_class_weight.py
MMeketon Feb 16, 2017
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8 changes: 8 additions & 0 deletions sklearn/utils/tests/test_class_weight.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,6 +117,14 @@ def test_compute_class_weight_balanced_unordered():
assert_almost_equal(np.dot(cw, class_counts), y.shape[0])
assert_array_almost_equal(cw, [2., 1., 2. / 3])

def test_class_weight_with_string_label():
y = np.asarray(["A","A","A","B","B","C"])
classes = np.unique(y)
class_weights = {c: 1.0 for c in classes}
class_weights['D'] = 1.0 # This should get a proper ValueError
cw = assert_raises(ValueError, compute_class_weight, class_weights,
classes, y)
return

def test_compute_sample_weight():
# Test (and demo) compute_sample_weight.
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