sklearn/linear_model/_coordinate_descent.py:861:1: W293 Blank line contains whitespace
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859 |     If so, then additionally check whether the dual gap is smaller than `tol` times
860 |     :math:`||y||_2^2 / n_{\text{samples}}`.
861 |     
    | ^^^^ W293
862 |     For an example showcasing Elastic-Net alongside Lasso and ARDRegression for sparse
863 |     signal recovery in the presence of noise and feature correlation, see:
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sklearn/linear_model/_coordinate_descent.py:1269:1: W293 Blank line contains whitespace
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1267 |     LassoLarsCV : Lasso least angle parameter algorithm by cross-validation.
1268 |     sklearn.decomposition.sparse_encode : Sparse coding array estimator.
1269 |     
     | ^^^^ W293
1270 |     For an example comparing Lasso with other L1-based regression models
1271 |     (Elastic-Net and ARDRegression) on sparse and noisy data, see:
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