support for score_mode in write_friend_tree

toolkit.py

@@ -1024,7 +1024,7 @@ class ClassificationProject(object):
     def write_friend_tree(self, score_name,
                           source_filename, source_treename,
                           target_filename, target_treename,
-                          batch_size=100000):
+                          batch_size=100000, score_mode=None):
         f = ROOT.TFile.Open(source_filename)
         tree = f.Get(source_treename)
         entries = tree.GetEntries()
@@ -1050,7 +1050,7 @@ class ClassificationProject(object):
                 is_train = np.zeros(len(x_eval))
 
             # join scores and is_train array
-            scores = self.evaluate(x_eval).reshape(-1)
+            scores = self.evaluate(x_eval, mode=score_mode).reshape(-1)
             friend_df = pd.DataFrame(np.array(scores, dtype=[(score_name, np.float64)]))
             friend_df[score_name+"_is_train"] = is_train
             friend_tree = friend_df.to_records()[[score_name, score_name+"_is_train"]]