diff --git a/src/learning/transformers.py b/src/learning/transformers.py
index c9a2709..06124c1 100644
--- a/src/learning/transformers.py
+++ b/src/learning/transformers.py
@@ -490,6 +490,8 @@ class DocEmbedderList:
 
     def transform_mean(self, lX, tfidf):
         if len(self.embedders) == 1:
+            if self.embedders[0].requires_tfidf:
+                lX = tfidf
             return self.embedders[0].transform(lX)
 
         langs = sorted(lX.keys())
diff --git a/src/util/parser_options.py b/src/util/parser_options.py
index fb5b4c0..730026f 100644
--- a/src/util/parser_options.py
+++ b/src/util/parser_options.py
@@ -29,7 +29,7 @@ parser.add_option("--l2", dest="l2", action='store_true',
 parser.add_option("--allprob", dest="allprob", action='store_true',
                   help="All views are generated as posterior probabilities. This affects the supervised and pretrained"
                        "embeddings, for which a calibrated classifier is generated, which generates the posteriors",
-                  default=False)
+                  default=True)
 
 parser.add_option("--feat-weight", dest="feat_weight",
                   help="Term weighting function to weight the averaged embeddings", type=str,  default='tfidf')
@@ -58,7 +58,7 @@ parser.add_option("-z", "--zscore", dest="zscore", action='store_true',
 
 parser.add_option("-a", "--agg", dest="agg", action='store_true',
                   help="Set aggregation function of the common Z-space to average (Default: concatenation)",
-                  default=False)
+                  default=True)
 
 # ------------------------------------------------------------------------------------