diff --git a/pyttb/ktensor.py b/pyttb/ktensor.py
index 2507885..74264e5 100644
--- a/pyttb/ktensor.py
+++ b/pyttb/ktensor.py
@@ -889,21 +889,24 @@ def full(self) -> ttb.tensor:
          [63. 85.]]
         <BLANKLINE>
         """
+
         def min_split_dims(dims):
             """
             solve
               min_{i in range(1,d)}  product(dims[:i]) + product(dims[i:])
             to minimize the memory footprint of the intermediate matrix
             """
-            sum_of_prods = [np.prod(dims[:i])+np.prod(dims[i:])
-                            for i in range(1,len(dims))]
+            sum_of_prods = [
+                np.prod(dims[:i]) + np.prod(dims[i:]) for i in range(1, len(dims))
+            ]
             i_min = np.argmin(sum_of_prods) + 1  # note range above starts at 1
             return i_min
 
         i_split = min_split_dims(self.shape)
-        data = ( (ttb.khatrirao(*self.factor_matrices[:i_split],reverse=True) * w) @
-                 ttb.khatrirao(*self.factor_matrices[i_split:],reverse=True).T )
-        return pyttb.tensor(data, self.shape, copy=False)
+        data = (
+            ttb.khatrirao(*self.factor_matrices[:i_split], reverse=True) * self.weights
+        ) @ ttb.khatrirao(*self.factor_matrices[i_split:], reverse=True).T
+        return ttb.tensor(data, self.shape, copy=False)
 
     def innerprod(
         self, other: Union[ttb.tensor, ttb.sptensor, ktensor, ttb.ttensor]