unconditionally call as_float_array in LinearModel._center_data

larsmans · Fabian Pedregosa · commit 906b00df833b · 2011-09-21T10:07:28.000+02:00
diff --git a/sklearn/linear_model/base.py b/sklearn/linear_model/base.py
@@ -58,8 +58,7 @@ def _center_data(X, y, fit_intercept, normalize=False, overwrite_X=False):
 
         If overwrite_X is True, modifies X in-place.
         """
-        if not overwrite_X:
-            X = as_float_array(X, overwrite_X)
+        X = as_float_array(X, overwrite_X)
 
         if fit_intercept:
             if sp.issparse(X):
