diff --git a/trainingModel.ipynb b/trainingModel.ipynb
index 76eeb1c..20273ad 100644
--- a/trainingModel.ipynb
+++ b/trainingModel.ipynb
@@ -1180,34 +1180,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
-    "# def word_averaging(wv, words):\n",
-    "#     \"\"\"Averages the word vectors for a list of words.\n",
-    "\n",
-    "#     Args:\n",
-    "#         words: A list of words.\n",
-    "#         wv: A pre-trained Gensim Word2Vec model.\n",
-    "\n",
-    "#     Returns:\n",
-    "#         A numpy array containing the average word vector.\n",
-    "#     \"\"\"\n",
-    "#     all_words, mean = set(), []\n",
-    "    \n",
-    "#     for word in words:\n",
-    "#         if isinstance(word, np.ndarray):\n",
-    "#             mean.append(word)\n",
-    "#         elif word in wv.key_to_index:\n",
-    "#             mean.append(wv.vectors_norm[wv.key_to_index[word]])\n",
-    "#             all_words.add(wv.vectors_norm[word])\n",
-    "\n",
-    "#     if not mean:\n",
-    "#         logging.warning(\"cannot compute similarity with no input %s\", words)\n",
-    "#         # FIXME: remove these examples in pre-processing\n",
-    "#         return np.zeros(wv.vector_size,)\n",
-    "\n",
-    "#     mean = gensim.matutils.unitvec(np.array(mean).mean(axis=0)).astype(np.float32)\n",
-    "#     return mean\n",
-    "\n",
     "\n",
     "def average_word_vectors(model, words):\n",
     "  \"\"\"Averages the word vectors for a list of words.\n",