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ENH flexible gram solver with penalty and using datafit #16

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Update skglm/solvers/gram.py
Co-authored-by: mathurinm <[email protected]>
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PABannier and mathurinm authored May 11, 2022
commit 8aee1b68428ba1916b5181e88d939c3433e91788
2 changes: 1 addition & 1 deletion skglm/solvers/gram.py
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ def cd_gram_quadratic(X, y, penalty, max_epochs=1000, tol=1e-4, w_init=None,

This solver should be used when n_samples >> n_features. It does not implement any
working set strategy and iteratively updates the gradients (n_features,) instead of
the residuals (n_samples,).
the prediction Xw (n_samples,).

Parameters
----------
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