data-science-ipython-notebooks/scikit-learn/fig_code/scikit-learn.ipynb

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     "cell_type": "markdown",
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     "source": [
      "# scikit-learn"
     ]
    },
    {
     "cell_type": "code",
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     "input": [
      "%matplotlib inline\n",
      "\n",
      "# set seaborn plot defaults.\n",
      "# This can be safely commented out\n",
      "import seaborn; seaborn.set()"
     ],
     "language": "python",
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     "prompt_number": 3
    },
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     "cell_type": "code",
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     "input": [
      "# Import the example plot from the figures directory\n",
      "from fig_code import plot_sgd_separator\n",
      "plot_sgd_separator()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ImportError",
       "evalue": "No module named fig_code",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-4-ce8360b266e1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Import the example plot from the figures directory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mfig_code\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mplot_sgd_separator\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mplot_sgd_separator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mImportError\u001b[0m: No module named fig_code"
       ]
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