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FIX get rid of some doctest errors (with the stricter nosetester)
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sklearn/cross_validation.py

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@@ -869,7 +869,7 @@ class StratifiedShuffleSplit(object):
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Examples
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--------
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>>> from sklearn import cross_validation
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>>> from sklearn.cross_validation import StratifiedShuffleSplit
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>>> X = np.array([[1, 2], [3, 4], [1, 2], [3, 4]])
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>>> y = np.array([0, 0, 1, 1])
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>>> sss = StratifiedShuffleSplit(y, 3, test_size=0.5, random_state=0)

sklearn/semi_supervised/label_propagation.py

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@@ -30,6 +30,7 @@
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Example
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-------
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>>> from sklearn import datasets
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>>> from sklearn.semi_supervised import LabelPropagation
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>>> label_prop_model = LabelPropagation()
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>>> iris = datasets.load_iris()
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>>> random_unlabeled_points = np.where(np.random.random_integers(0, 1,
@@ -276,6 +277,7 @@ class LabelPropagation(BaseLabelPropagation):
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Examples
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--------
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>>> from sklearn import datasets
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>>> from sklearn.semi_supervised import LabelPropagation
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>>> label_prop_model = LabelPropagation()
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>>> iris = datasets.load_iris()
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>>> random_unlabeled_points = np.where(np.random.random_integers(0, 1,
@@ -340,6 +342,7 @@ class LabelSpreading(BaseLabelPropagation):
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Examples
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--------
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>>> from sklearn import datasets
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>>> from sklearn.semi_supervised import LabelSpreading
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>>> label_prop_model = LabelSpreading()
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>>> iris = datasets.load_iris()
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>>> random_unlabeled_points = np.where(np.random.random_integers(0, 1,

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