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2 changes: 1 addition & 1 deletion sklearn/utils/class_weight.py
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ def compute_class_weight(class_weight, classes, y):
for c in class_weight:
i = np.searchsorted(classes, c)
if i >= len(classes) or classes[i] != c:
raise ValueError("Class label %d not present." % c)
raise ValueError("Class label {} not present.".format(c))
else:
weight[i] = class_weight[c]

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6 changes: 6 additions & 0 deletions sklearn/utils/tests/test_class_weight.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,6 +31,12 @@ def test_compute_class_weight_not_present():
classes = np.arange(4)
y = np.asarray([0, 0, 0, 1, 1, 2])
assert_raises(ValueError, compute_class_weight, "balanced", classes, y)
# Fix exception in error message formatting when missing label is a string
# https://github.com/scikit-learn/scikit-learn/issues/8312
assert_raise_message(ValueError,
'Class label label_not_present not present',
compute_class_weight,
{'label_not_present': 1.}, classes, y)
# Raise error when y has items not in classes
classes = np.arange(2)
assert_raises(ValueError, compute_class_weight, "balanced", classes, y)
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