diff --git a/implicit/evaluation.pyx b/implicit/evaluation.pyx
index 00cdf9f0..1975188f 100644
--- a/implicit/evaluation.pyx
+++ b/implicit/evaluation.pyx
@@ -230,7 +230,7 @@ def ALS_recommend_all(model, users_items, int k=10, int threads=1, show_progress
     """
     Recommends items for all users
 
-    Calculates the k best recommendations for all users, and returns numpy ndarray of 
+    Calculates the k best recommendations for all users, and returns numpy ndarray of
     shape (number_users, k) with scores.
 
     Parameters
@@ -259,7 +259,7 @@ def ALS_recommend_all(model, users_items, int k=10, int threads=1, show_progress
     numpy ndarray
         Array of (number_users, k) with scores
     """
-    
+
     if not isinstance(users_items, csr_matrix):
         users_items = users_items.tocsr()
     factors_items = model.item_factors.T