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- :class:`linear_model.ElasticNet`, :class:`linear_model.ElasticNetCV`,
:class:`linear_model.Lasso` and :class:`linear_model.LassoCV` with `precompute=True`
(or `precompute="auto"`` and `n_samples > n_features`) are faster to fit by
avoiding a BLAS level 1 (axpy) call in the inner most loop.
:class:`linear_model.Lasso`, :class:`linear_model.LassoCV`,
:class:`linear_model.MultiTaskElasticNet`,
:class:`linear_model.MultiTaskElasticNetCV`,
:class:`linear_model.MultiTaskLasso` and :class:`linear_model.MultiTaskLassoCV`
are faster to fit by avoiding a BLAS level 1 (axpy) call in the innermost loop.
Same for functions :func:`linear_model.enet_path` and
:func:`linear_model.lasso_path`.
By :user:`Christian Lorentzen <lorentzenchr>`.
By :user:`Christian Lorentzen <lorentzenchr>` :pr:`31956` and
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