{

 "metadata": {

  "name": "",

  "signature": "sha256:838971c120fcb68f3b596b3f57f03f3a87700d50663af6e86000898305ab215b"

 },

 "nbformat": 3,

 "nbformat_minor": 0,

 "worksheets": [

  {

   "cells": [

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "from IPython.parallel import Client\n",

      "from sklearn.externals import joblib\n",

      "from sklearn.base import BaseEstimator\n",

      "from sklearn.preprocessing import StandardScaler\n",

      "from sklearn.utils import check_random_state\n",

      "from sklearn import cluster\n",

      "from sklearn.pipeline import Pipeline\n",

      "import numpy as np\n",

      "from scipy import sparse\n",

      "import matplotlib.pylab as plt\n",

      "import random\n",

      "import time\n",

      "import os\n",

      "import shutil\n",

      "from os import path\n",

      "\n",

      "from sklearn import linear_model\n",

      "from sklearn.cross_validation import cross_val_score, KFold\n",

      "\n",

      "client = Client()\n",

      "print 'running on ', len(client), 'cores'\n",

      "dv = client[:]\n",

      "lb = client.load_balanced_view()"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "ename": "ImportError",

       "evalue": "No module named scipy",

       "output_type": "pyerr",

       "traceback": [

        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",

        "\u001b[1;32m<ipython-input-2-1299ab59bb2f>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mIPython\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparallel\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexternals\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mjoblib\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbase\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mBaseEstimator\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpreprocessing\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mStandardScaler\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mcheck_random_state\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",

        "\u001b[1;32mC:\\Python27\\lib\\site-packages\\sklearn\\__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     36\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m     \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0m__check_build\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 38\u001b[1;33m     \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mbase\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mclone\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     39\u001b[0m     \u001b[0m__check_build\u001b[0m  \u001b[1;31m# avoid flakes unused variable error\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     40\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",

        "\u001b[1;32mC:\\Python27\\lib\\site-packages\\sklearn\\base.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      8\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 10\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mscipy\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0msparse\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     11\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mexternals\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0msix\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",

        "\u001b[1;31mImportError\u001b[0m: No module named scipy"

       ]

      }

     ],

     "prompt_number": 2

    }

   ],

   "metadata": {}

  }

 ]

}