8000 [MRG+1] Update class_weight.py by MMeketon · Pull Request #8319 · scikit-learn/scikit-learn · GitHub
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[MRG+1] Update class_weight.py #8319

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Merged
merged 4 commits into from
Feb 21, 2017
Merged

[MRG+1] Update class_weight.py #8319

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5b469c5
Update class_weight.py
MMeketon Feb 8, 2017
1dec75c
Test that the ValueError is raised an extra, string class label is fo…
MMeketon Feb 20, 2017
038fccd
Recoded test to test for ValueError and the proper message being disp…
MMeketon Feb 20, 2017
268fd9f
Simplify test
lesteve Feb 21, 2017
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2 changes: 1 addition & 1 deletion sklearn/utils/class_weight.py
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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
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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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