Preprocessing.ipynb

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     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import Preprocess\n",
    "import tensorflow as tf\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
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   "source": [
    "df = pd.read_csv('./train.csv')\n",
    "df.head()"
   ]
  },
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      "text/plain": [
       "         id                                       comment_text  toxic  \\\n",
       "0  22256635  Nonsense  kiss off geek what I said is true  I...      1   \n",
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       "3  77493077  Asking some his nationality is a Racial offenc...      0   \n",
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   "source": [
    "cleaned_df=Preprocess.cleanup(df)\n",
    "cleaned_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('feature_extraction', TfidfVectorizer(analyzer='word', binary=False, decode_error='strict',\n",
       "        dtype=<class 'numpy.int64'>, encoding='utf-8', input='content',\n",
       "        lowercase=True, max_df=1.0, max_features=None, min_df=1,\n",
       "        ngram_range=(1, 4), norm='l2', preprocessor=None, smoot...     pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
       "       scoring=None, verbose=0))])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cross_val_score(model, X, y, cv=5)"
   ]
  }
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