stale commit

Author: Badr-MOUFAD

skglm/estimators.py

@@ -101,11 +101,6 @@ 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):
@@ -1373,12 +1368,6 @@ def fit(self, X, y):
                 fit_intercept=False,
             )
 
-        # # solve problem
-        # if not issparse(X):
-        #     datafit.initialize(X, y)
-        # else:
-        #     datafit.initialize_sparse(X.data, X.indptr, X.indices, y)
-
         w, _, stop_crit = solver.solve(X, y, datafit, penalty)
 
         # save to attribute

skglm/solvers/base.py

@@ -137,7 +137,7 @@ def solve(
         if run_checks:
             self._validate(X, y, datafit, penalty)
 
-        # check for None as GramCD solver doesn't take None as datafit
+        # check for None as `GramCD` solver take `None` as datafit
         if datafit is not None and initialize_datafit:
             if issparse(X):
                 datafit.initialize_sparse(X.data, X.indptr, X.indices, y)