Part 11 - Out Of Core Learning.ipynb

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   "source": [
    "# write out some toy data\n",
    "from sklearn.datasets import load_digits\n",
    "import pickle\n",
    "\n",
    "digits = load_digits()\n",
    "\n",
    "X, y = digits.data, digits.target\n",
    "\n",
    "for i in range(10):\n",
    "    pickle.dump((X[i::10], y[i::10]), open(\"data/batch_%02d.pickle\" % i, \"wb\"), -1)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "source": [
    "from sklearn.linear_model import SGDClassifier"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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    "sgd = SGDClassifier()\n",
    "\n",
    "for i in range(9):\n",
    "    X_batch, y_batch = cPickle.load(open(\"data/batch_%02d.pickle\" % i))\n",
    "    sgd.partial_fit(X_batch, y_batch, classes=range(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "X_test, y_test = pickle.load(open(\"data/batch_09.pickle\", \"rb\"))\n",
    "\n",
    "sgd.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
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