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DOC Update Lasso class docstring _coordinate_descent.py #30911

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Merged
merged 2 commits into from
Mar 4, 2025
Merged

DOC Update Lasso class docstring _coordinate_descent.py #30911

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efa6cd5
Update Lasso class docstring _coordinate_descent.py
goutam-kul Feb 27, 2025
f09d915
Merge branch 'main' into patch-1
goutam-kul Mar 2, 2025
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4 changes: 1 addition & 3 deletions sklearn/linear_model/_coordinate_descent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1276,9 +1276,7 @@ class Lasso(ElasticNet):
reduces the variance of the estimates. Larger values specify stronger
regularization. Alpha corresponds to `1 / (2C)` in other linear
models such as :class:`~sklearn.linear_model.LogisticRegression` or
:class:`~sklearn.svm.LinearSVC`. If an array is passed, penalties are
assumed to be specific to the targets. Hence they must correspond in
number.
:class:`~sklearn.svm.LinearSVC`.

The precise stopping criteria based on `tol` are the following: First, check that
that maximum coordinate update, i.e. :math:`\\max_j |w_j^{new} - w_j^{old}|`
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