Fix AttributeError use_fallback_lbfgs_solve for newton-cholesky when fitting with max_iter=0 #26653
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…fitting with max_iter=0
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Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
ogrisel
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lorentzenchr
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…fitting with max_iter=0 (scikit-learn#26653) Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
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…fitting with max_iter=0 (#26653) Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
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…fitting with max_iter=0 (scikit-learn#26653) Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
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…fitting with max_iter=0 (scikit-learn#26653) Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com> Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
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As found when trying to run
benchopton LogisticRegression with thenewton-choleskysolver.When writing the non-regression test, I found that both sag/saga and LBFGS also had problems with
max_iter=0but of a different nature (more minor as they would not raise an exception). See theXXXcomments for details.I plan to tackled those in dedicated follow-up PRs.
I think we should backport this fix to 1.3.0 (or 1.3.1 if the merge arrives too late).