8000 [MRG] Fix for missing classes found in y - Fixes #4327 by trevorstephens · Pull Request #5863 · scikit-learn/scikit-learn · GitHub
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[MRG] Fix for missing classes found in y - Fixes #4327 #5863

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Merged
merged 1 commit into from
Feb 11, 2016
Merged

[MRG] Fix for missing classes found in y - Fixes #4327 #5863

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3 changes: 3 additions & 0 deletions sklearn/utils/class_weight.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,9 @@ def compute_class_weight(class_weight, classes, y):
# Import error caused by circular imports.
from ..preprocessing import LabelEncoder

if set(y) - set(classes):
raise ValueError("classes should include all valid labels that can "
"be in y")
if class_weight is None or len(class_weight) == 0:
# uniform class weights
weight = np.ones(classes.shape[0], dtype=np.float64, order='C')
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5 changes: 5 additions & 0 deletions sklearn/utils/tests/test_class_weight.py
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Expand Up @@ -37,6 +37,11 @@ def test_compute_class_weight_not_present():
y = np.asarray([0, 0, 0, 1, 1, 2])
assert_raises(ValueError, compute_class_weight, "auto", classes, y)
assert_raises(ValueError, compute_class_weight, "balanced", classes, y)
# Raise error when y has items not in classes
classes = np.arange(2)
assert_raises(ValueError, compute_class_weight, "auto", classes, y)
assert_raises(ValueError, compute_class_weight, "balanced", classes, y)
assert_raises(ValueError, compute_class_weight, {0: 1., 1: 2.}, classes, y)


def test_compute_class_weight_dict():
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0