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scikit-learn-contrib · Nov 7, 2024 · cdc7768 · cdc7768
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diff --git a/skglm/estimators.py b/skglm/estimators.py
@@ -21,7 +21,7 @@
 from skglm.utils.jit_compilation import compiled_clone
 from skglm.solvers import AndersonCD, MultiTaskBCD, GroupBCD
 from skglm.datafits import (Cox, Quadratic, Logistic, QuadraticSVC,
-                            QuadraticMultiTask, QuadraticGroup, QuadraticHessian)
+                            QuadraticMultiTask, QuadraticGroup,)
 from skglm.penalties import (L1, WeightedL1, L1_plus_L2, L2, WeightedGroupL2,
                              MCPenalty, WeightedMCPenalty, IndicatorBox, L2_1)
 from skglm.utils.data import grp_converter

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