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DOC Ensures that mean_variance_axis passes numpydoc validation #24177

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Merged
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Aug 13, 2022
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DOC Ensures that mean_variance_axis passes numpydoc validation #24177

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1 change: 0 additions & 1 deletion sklearn/tests/test_docstrings.py
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Expand Up @@ -74,7 +74,6 @@
"sklearn.utils.sparsefuncs.inplace_swap_row",
"sklearn.utils.sparsefuncs.inplace_swap_row_csc",
"sklearn.utils.sparsefuncs.inplace_swap_row_csr",
"sklearn.utils.sparsefuncs.mean_variance_axis",
"sklearn.utils.validation.check_is_fitted",
]
FUNCTION_DOCSTRING_IGNORE_LIST = set(FUNCTION_DOCSTRING_IGNORE_LIST)
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2 changes: 1 addition & 1 deletion sklearn/utils/sparsefuncs.py
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Expand Up @@ -77,7 +77,7 @@ def mean_variance_axis(X, axis, weights=None, return_sum_weights=False):
Axis along which the axis should be computed.

weights : ndarray of shape (n_samples,) or (n_features,), default=None
if axis is set to 0 shape is (n_samples,) or
If axis is set to 0 shape is (n_samples,) or
if axis is set to 1 shape is (n_features,).
If it is set to None, then samples are equally weighted.

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