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DOC Ensure that normalize passes numpydoc validation (#23188)
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sklearn/preprocessing/_data.py

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@@ -1741,8 +1741,8 @@ def normalize(X, norm="l2", *, axis=1, copy=True, return_norm=False):
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feature if axis is 0).
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axis : {0, 1}, default=1
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axis used to normalize the data along. If 1, independently normalize
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each sample, otherwise (if 0) normalize each feature.
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Define axis used to normalize the data along. If 1, independently
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normalize each sample, otherwise (if 0) normalize each feature.
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copy : bool, default=True
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Set to False to perform inplace row normalization and avoid a

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