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flake8
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skglm/estimators.py

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from skglm.utils.jit_compilation import compiled_clone
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from skglm.solvers import AndersonCD, MultiTaskBCD, GroupBCD
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from skglm.datafits import (Cox, Quadratic, Logistic, QuadraticSVC,
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QuadraticMultiTask, QuadraticGroup, QuadraticHessian)
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QuadraticMultiTask, QuadraticGroup,)
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from skglm.penalties import (L1, WeightedL1, L1_plus_L2, L2, WeightedGroupL2,
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MCPenalty, WeightedMCPenalty, IndicatorBox, L2_1)
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from skglm.utils.data import grp_converter

skglm/tests/test_datafits.py

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@@ -237,5 +237,6 @@ def test_HessianQuadratic():
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# check that it's not just because we got alpha too high and thus 0 coef
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np.testing.assert_array_less(0.1, np.max(np.abs(qpl1.coef_)))
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if __name__ == '__main__':
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pass

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