MNT - fix regression introduced in #270 (#304)

Author: Badr-MOUFAD

skglm/estimators.py

@@ -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):