puyokw/var_imp_otto.ipynb

## var_imp_otto.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"border-style: dashed; border-width: 1px;\">\n",
       "<div style=\"color: #888;\"># issued at 2016-03-10T03:44:26Z</div>URL: <a href=\"https://console.treasuredata.com/jobs/54984273\" target=\"_blank\">https://console.treasuredata.com/jobs/54984273</a><br>\n",
       "<div style=\"color: #888;\"># started at 2016-03-10T03:44:26Z</div><pre style=\"color: #c44;\">\n",
       "** WARNING: time index filtering is not set on \n",
       "** This query could be very slow as a result.\n",
       "** Please see https://docs.treasuredata.com/articles/presto-performance-tuning#leveraging-time-based-partitioning</pre>\n",
       "<pre>2016-03-10 03:44:27:   rows  pending  running   done / total\n",
       "            Stage-0:      1        0        0      1 /     1\n",
       "            Stage-1:      1        0        0      1 /     1</pre>Result size: 841 bytes<br>\n",
       "Download: 841 / 841 bytes (100.00%)<br>\n",
       "<div style=\"color: #888;\"># downloaded at 2016-03-10T03:44:31Z</div></div>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>var_importance</th>\n",
       "      <th>oob_err_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[2034.7039246985344, 2173.5302119996854, 3855....</td>\n",
       "      <td>0.199182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      var_importance  oob_err_rate\n",
       "0  [2034.7039246985344, 2173.5302119996854, 3855....      0.199182"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "import pandas as pd\n",
    "import pandas_td as td\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "con = td.connect(apikey=os.environ['TD_API_KEY'],endpoint='https://api.treasuredata.com/')\n",
    "engine = con.query_engine(database='kaggle_otto', type='presto')\n",
    "var_imp=td.read_td_table('var_importance', engine)\n",
    "del var_imp['time']\n",
    "var_imp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tmp=pd.DataFrame(var_imp.var_importance[0])\n",
    "tmp=tmp.transpose()\n",
    "import numpy as np \n",
    "NAME=[]\n",
    "for i in range(1,94):\n",
    "    NAME.append('feat_'+str(i))\n",
    "tmp.columns=NAME"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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TGNhTJ0kaXquyXzPzE5m5MjP3Bw4H/q1bQSdJkqRys18lSZI0BBcflubJxYcl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bfe25c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X=np.array(range(tmp.shape[1]))\n",
    "plt.figure(figsize=(10, 25))\n",
    "plt.barh(X, tmp.values[0], align=\"center\")\n",
    "plt.yticks(X, tmp.columns)\n",
    "plt.savefig('var_imp_otto.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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