query.ipynb

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   "source": [
    "## Now fetch features from Vespa for all our query,document pairs "
   ]
  },
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   "metadata": {},
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   "source": [
    "with open('features.txt') as fp:\n",
    "  features = [line.strip() for line in fp]\n",
    "\n",
    "all['query_embedding'] = all['search_term'].apply(\n",
    "    lambda x: session.run(sentence_embeddings, feed_dict={sentence: [x]})[0])\n",
    "all['features'] = all.apply(lambda x: get_features_from_vespa(x), axis=1)\n",
    "for feature in features:\n",
    "    all[feature] = all['features'].apply(lambda x: x.get(feature))\n",
    "\n",
    "all = all.drop(['features', 'product_title', \n",
    "          'product_description', 'query_embedding'],axis=1)\n"
   ]
  }
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