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MNT - fix regression introduced in #270 #304

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Apr 30, 2025
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5 changes: 0 additions & 5 deletions skglm/estimators.py
Original file line number Diff line number Diff line change
Expand Up @@ -102,11 +102,6 @@ def _glm_fit(X, y, model, datafit, penalty, solver):

n_samples, n_features = X_.shape

if issparse(X):
datafit.initialize_sparse(X_.data, X_.indptr, X_.indices, y)
else:
datafit.initialize(X_, y)

# if model.warm_start and hasattr(model, 'coef_') and model.coef_ is not None:
if solver.warm_start and hasattr(model, 'coef_') and model.coef_ is not None:
if isinstance(datafit, QuadraticSVC):
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