insight-nb2.ipynb

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   "source": [
    "def train_test_split(ratings):\n",
    "    test = np.zeros(ratings.shape)\n",
    "    train = ratings.copy()\n",
    "    for user in xrange(ratings.shape[0]):\n",
    "        test_ratings = np.random.choice(ratings[0, :].nonzero()[0], \n",
    "                                        size=10, \n",
    "                                        replace=False)\n",
    "        train[user, test_ratings] = 0.\n",
    "        test[user, test_ratings] = ratings[user, test_ratings]\n",
    "        \n",
    "    # Test and training are truly disjoint\n",
    "    assert(np.all((train * test) == 0)) \n",
    "    return train, test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train, test = train_test_split(ratings)"
   ]
  }
 ],
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