fix piskvorky#795

more parameters excluded

gensim/models/doc2vec.py

@@ -529,9 +529,7 @@ def repeat(self, word_count):
 
 class Doc2Vec(Word2Vec):
     """Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf"""
-    def __init__(self, documents=None, size=300, alpha=0.025, min_count=5,
-                 max_vocab_size=None, seed=1, workers=1, min_alpha=0.0001,
-                 dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,
+    def __init__(self, documents=None, dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1,
                  docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs):
         """
         Initialize the model from an iterable of `documents`. Each document is a
@@ -601,8 +599,6 @@ def __init__(self, documents=None, size=300, alpha=0.025, min_count=5,
 
         """
         super(Doc2Vec, self).__init__(
-            size=size, alpha=alpha, min_count=min_count, max_vocab_size=max_vocab_size,
-            seed=seed, workers=workers, min_alpha=min_alpha,
             sg=(1+dm) % 2,
             null_word=dm_concat, **kwargs)
         self.dbow_words = dbow_words