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doc/miscellaneous.rst

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@@ -17,7 +17,7 @@ a single function. Additional parameters can be added using the attribute
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``kw_args`` which accepts a dictionary. The following example illustrates how
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to retain the 10 first elements of the array ``X`` and ``y``::
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>>> from sklearn.misc import FunctionSampler
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>>> from imblearn.misc import FunctionSampler
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>>> from sklearn.datasets import make_classification
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>>> X, y = make_classification(n_samples=5000, n_features=2, n_informative=2,
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... n_redundant=0, n_repeated=0, n_classes=3,

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