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DOC Ensures that preprocessing._data.normalize passes numpydoc validation #22795

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Mar 12, 2022
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DOC Ensures that preprocessing._data.normalize passes numpydoc validation #22795

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4 changes: 2 additions & 2 deletions sklearn/preprocessing/_data.py
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Expand Up @@ -1745,12 +1745,12 @@ def normalize(X, norm="l2", *, axis=1, copy=True, return_norm=False):
each sample, otherwise (if 0) normalize each feature.

copy : bool, default=True
set to False to perform inplace row normalization and avoid a
Set to False to perform inplace row normalization and avoid a
copy (if the input is already a numpy array or a scipy.sparse
CSR matrix and if axis is 1).

return_norm : bool, default=False
whether to return the computed norms
Whether to return the computed norms.

Returns
-------
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1 change: 0 additions & 1 deletion sklearn/tests/test_docstrings.py
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Expand Up @@ -112,7 +112,6 @@
"sklearn.pipeline.make_union",
"sklearn.preprocessing._data.binarize",
"sklearn.preprocessing._data.maxabs_scale",
"sklearn.preprocessing._data.normalize",
"sklearn.preprocessing._data.power_transform",
"sklearn.preprocessing._data.quantile_transform",
"sklearn.preprocessing._data.robust_scale",
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