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DOC Update docs for StandardScaler.scale_ to include 0 variance #19124

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Jan 9, 2021
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DOC Update docs for StandardScaler.scale_ to include 0 variance #19124

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Fixes #19104: Update documentation of StandardScaler.scale_ to include 0
KunjParikh Jan 6, 2021
6404b48
Update sklearn/preprocessing/_data.py
KunjParikh Jan 9, 2021
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7 changes: 5 additions & 2 deletions sklearn/preprocessing/_data.py
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Expand Up @@ -617,8 +617,11 @@ class StandardScaler(TransformerMixin, BaseEstimator):
Attributes
----------
scale_ : ndarray of shape (n_features,) or None
Per feature relative scaling of the data. This is calculated using
`np.sqrt(var_)`. Equal to ``None`` when ``with_std=False``.
Per feature relative scaling of the data to achieve zero mean and unit
variance. Generally this is calculated using `np.sqrt(var_)`. If a
variance is zero, we can't achieve unit variance, and the data is left
as-is, giving a scaling factor of 1. `scale_` is equal to `None`
when `with_std=False`.

.. versionadded:: 0.17
*scale_*
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