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DOC Linear regression doc update #21258

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Oct 12, 2021
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DOC Linear regression doc update #21258

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28eda69
update docstring
simonandras Oct 6, 2021
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Apply suggestions from code review
simonandras Oct 6, 2021
6b0916c
Update sklearn/linear_model/_base.py
simonandras Oct 7, 2021
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9 changes: 5 additions & 4 deletions sklearn/linear_model/_base.py
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Expand Up @@ -536,10 +536,11 @@ class LinearRegression(MultiOutputMixin, RegressorMixin, LinearModel):

n_jobs : int, default=None
The number of jobs to use for the computation. This will only provide
speedup for n_targets > 1 and sufficient large problems.
``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
``-1`` means using all processors. See :term:`Glossary <n_jobs>`
for more details.
speedup in case of sufficiently large problems, that is if firstly
`n_targets > 1` and secondly `X` is sparse or if `positive` is set
to `True`. ``None`` means 1 unless in a
:obj:`joblib.parallel_backend` context. ``-1`` means using all
processors. See :term:`Glossary <n_jobs>` for more details.

positive : bool, default=False
When set to ``True``, forces the coefficients to be positive. This
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