Skip to content

Instantly share code, notes, and snippets.

@northface

northface/gbm_example_h2o.ipynb

Last active July 16, 2017 02:22
Show Gist options
  • Save northface/732ea069523e01987df0fe4a262a07e6 to your computer and use it in GitHub Desktop.
Save northface/732ea069523e01987df0fe4a262a07e6 to your computer and use it in GitHub Desktop.
Download ZIP
GBM Example by H2O.ai
Display the source blob
Display the rendered blob
Raw
gbm_example_h2o.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"GBM Example\n",
"http://h2o-release.s3.amazonaws.com/h2o/rel-vajda/3/docs-website/h2o-docs/starting-h2o.html#from-python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import h2o"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Checking whether there is an H2O instance running at http://localhost:54321..... not found.\n",
"Attempting to start a local H2O server...\n",
" Java Version: openjdk version \"1.8.0_121\"; OpenJDK Runtime Environment (Zulu 8.20.0.5-macosx) (build 1.8.0_121-b15); OpenJDK 64-Bit Server VM (Zulu 8.20.0.5-macosx) (build 25.121-b15, mixed mode)\n",
" Starting server from /Users/northface/anaconda/envs/py2/lib/python2.7/site-packages/h2o/backend/bin/h2o.jar\n",
" Ice root: /var/folders/p1/j6jk6yyx48710zss8fkcht580000gn/T/tmptcb7fX\n",
" JVM stdout: /var/folders/p1/j6jk6yyx48710zss8fkcht580000gn/T/tmptcb7fX/h2o_northface_started_from_python.out\n",
" JVM stderr: /var/folders/p1/j6jk6yyx48710zss8fkcht580000gn/T/tmptcb7fX/h2o_northface_started_from_python.err\n",
" Server is running at http://127.0.0.1:54321\n",
"Connecting to H2O server at http://127.0.0.1:54321... successful.\n"
]
},
{
"data": {
"text/html": [
"<div style=\"overflow:auto\"><table style=\"width:50%\"><tr><td>H2O cluster uptime:</td>\n",
"<td>03 secs</td></tr>\n",
"<tr><td>H2O cluster version:</td>\n",
"<td>3.10.4.8</td></tr>\n",
"<tr><td>H2O cluster version age:</td>\n",
"<td>1 month and 25 days </td></tr>\n",
"<tr><td>H2O cluster name:</td>\n",
"<td>H2O_from_python_northface_xfu3tb</td></tr>\n",
"<tr><td>H2O cluster total nodes:</td>\n",
"<td>1</td></tr>\n",
"<tr><td>H2O cluster free memory:</td>\n",
"<td>3.556 Gb</td></tr>\n",
"<tr><td>H2O cluster total cores:</td>\n",
"<td>4</td></tr>\n",
"<tr><td>H2O cluster allowed cores:</td>\n",
"<td>4</td></tr>\n",
"<tr><td>H2O cluster status:</td>\n",
"<td>accepting new members, healthy</td></tr>\n",
"<tr><td>H2O connection url:</td>\n",
"<td>http://127.0.0.1:54321</td></tr>\n",
"<tr><td>H2O connection proxy:</td>\n",
"<td>None</td></tr>\n",
"<tr><td>H2O internal security:</td>\n",
"<td>False</td></tr>\n",
"<tr><td>Python version:</td>\n",
"<td>2.7.13 final</td></tr></table></div>"
],
"text/plain": [
"-------------------------- --------------------------------\n",
"H2O cluster uptime: 03 secs\n",
"H2O cluster version: 3.10.4.8\n",
"H2O cluster version age: 1 month and 25 days\n",
"H2O cluster name: H2O_from_python_northface_xfu3tb\n",
"H2O cluster total nodes: 1\n",
"H2O cluster free memory: 3.556 Gb\n",
"H2O cluster total cores: 4\n",
"H2O cluster allowed cores: 4\n",
"H2O cluster status: accepting new members, healthy\n",
"H2O connection url: http://127.0.0.1:54321\n",
"H2O connection proxy:\n",
"H2O internal security: False\n",
"Python version: 2.7.13 final\n",
"-------------------------- --------------------------------"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from h2o.estimators.gbm import H2OGradientBoostingEstimator\n",
"h2o.init()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Parse progress: |█████████████████████████████████████████████████████████| 100%\n"
]
}
],
"source": [
"# Import the Airlines dataset\n",
"# This will be used to classify whether a flight is delayed\n",
"airlines = h2o.import_file(\"https://s3.amazonaws.com/h2o-public-test-data/smalldata/airlines/allyears2k_headers.zip\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<tr><th style=\"text-align: right;\"> Year</th><th style=\"text-align: right;\"> Month</th><th style=\"text-align: right;\"> DayofMonth</th><th style=\"text-align: right;\"> DayOfWeek</th><th style=\"text-align: right;\"> DepTime</th><th style=\"text-align: right;\"> CRSDepTime</th><th style=\"text-align: right;\"> ArrTime</th><th style=\"text-align: right;\"> CRSArrTime</th><th>UniqueCarrier </th><th style=\"text-align: right;\"> FlightNum</th><th>TailNum </th><th style=\"text-align: right;\"> ActualElapsedTime</th><th style=\"text-align: right;\"> CRSElapsedTime</th><th style=\"text-align: right;\"> AirTime</th><th style=\"text-align: right;\"> ArrDelay</th><th style=\"text-align: right;\"> DepDelay</th><th>Origin </th><th>Dest </th><th style=\"text-align: right;\"> Distance</th><th style=\"text-align: right;\"> TaxiIn</th><th style=\"text-align: right;\"> TaxiOut</th><th style=\"text-align: right;\"> Cancelled</th><th>CancellationCode </th><th style=\"text-align: right;\"> Diverted</th><th style=\"text-align: right;\"> CarrierDelay</th><th style=\"text-align: right;\"> WeatherDelay</th><th style=\"text-align: right;\"> NASDelay</th><th style=\"text-align: right;\"> SecurityDelay</th><th style=\"text-align: right;\"> LateAircraftDelay</th><th>IsArrDelayed </th><th>IsDepDelayed </th></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 14</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 741</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 912</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 91</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 23</td><td style=\"text-align: right;\"> 11</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>YES </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 15</td><td style=\"text-align: right;\"> 4</td><td style=\"text-align: right;\"> 729</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 903</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 94</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 14</td><td style=\"text-align: right;\"> -1</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>NO </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 17</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 741</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 918</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 97</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 29</td><td style=\"text-align: right;\"> 11</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>YES </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 18</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 729</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 847</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 78</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> -2</td><td style=\"text-align: right;\"> -1</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>NO </td><td>NO </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 19</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 749</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 922</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 93</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 33</td><td style=\"text-align: right;\"> 19</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>YES </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 21</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 728</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 848</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 80</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> -1</td><td style=\"text-align: right;\"> -2</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>NO </td><td>NO </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 22</td><td style=\"text-align: right;\"> 4</td><td style=\"text-align: right;\"> 728</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 852</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 84</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> -2</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>NO </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 23</td><td style=\"text-align: right;\"> 5</td><td style=\"text-align: right;\"> 731</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 902</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 91</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 13</td><td style=\"text-align: right;\"> 1</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>YES </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 24</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 744</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 908</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 84</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 19</td><td style=\"text-align: right;\"> 14</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>YES </td></tr>\n",
"<tr><td style=\"text-align: right;\"> 1987</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 25</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 729</td><td style=\"text-align: right;\"> 730</td><td style=\"text-align: right;\"> 851</td><td style=\"text-align: right;\"> 849</td><td>PS </td><td style=\"text-align: right;\"> 1451</td><td>NA </td><td style=\"text-align: right;\"> 82</td><td style=\"text-align: right;\"> 79</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 2</td><td style=\"text-align: right;\"> -1</td><td>SAN </td><td>SFO </td><td style=\"text-align: right;\"> 447</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> 0</td><td>NA </td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td style=\"text-align: right;\"> nan</td><td>YES </td><td>NO </td></tr>\n",
"</table>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"airlines.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[u'Year',\n",
" u'Month',\n",
" u'DayofMonth',\n",
" u'DayOfWeek',\n",
" u'DepTime',\n",
" u'CRSDepTime',\n",
" u'ArrTime',\n",
" u'CRSArrTime',\n",
" u'UniqueCarrier',\n",
" u'FlightNum',\n",
" u'TailNum',\n",
" u'ActualElapsedTime',\n",
" u'CRSElapsedTime',\n",
" u'AirTime',\n",
" u'ArrDelay',\n",
" u'DepDelay',\n",
" u'Origin',\n",
" u'Dest',\n",
" u'Distance',\n",
" u'TaxiIn',\n",
" u'TaxiOut',\n",
" u'Cancelled',\n",
" u'CancellationCode',\n",
" u'Diverted',\n",
" u'CarrierDelay',\n",
" u'WeatherDelay',\n",
" u'NASDelay',\n",
" u'SecurityDelay',\n",
" u'LateAircraftDelay',\n",
" u'IsArrDelayed',\n",
" u'IsDepDelayed']"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"airlines.columns"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# convert columns to factors\n",
"airlines[\"Year\"] = airlines[\"Year\"].asfactor()\n",
"airlines[\"Month\"] = airlines[\"Month\"].asfactor()\n",
"airlines[\"DayOfWeek\"] = airlines[\"DayOfWeek\"].asfactor()\n",
"airlines[\"Cancelled\"] = airlines[\"Cancelled\"].asfactor()\n",
"airlines[\"FlightNum\"] = airlines[\"FlightNum\"].asfactor()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# set the predictor names and the response column name\n",
"predictors = [\"Origin\",\"Dest\",\"Year\",\"Month\",\"UniqueCarrier\",\"DayOfWeek\",\"Distance\",\"FlightNum\"]\n",
"response = \"IsDepDelayed\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# split into train and validation sets\n",
"train, valid = airlines.split_frame(ratios= [.8], seed = 1234)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# the number of factor levels range from 2 to 2439\n",
"bin_num = [8,16,32,64,128,256,512,1024,2048,4096]\n",
"label = [\"8\",\"16\",\"32\",\"64\",\"128\",\"256\",\"512\",\"1024\",\"2048\",\"4096\"]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n",
"gbm Model Build progress: |███████████████████████████████████████████████| 100%\n"
]
}
],
"source": [
"# train the models\n",
"for key, num in enumerate(bin_num):\n",
" #initialize the GBM estimator and set a seed for reproducibility\n",
" airlines_gbm = H2OGradientBoostingEstimator(nbins_cats = num, seed = 1234)\n",
" airlines_gbm.train(x = predictors, y = response, training_frame = train, validation_frame = valid)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('4096', 'training score', 0.859260141447694)\n",
"('4096', 'validation score', 0.7308873468586968)\n"
]
}
],
"source": [
"# print AUC\n",
"print(label[key], \"training score\", airlines_gbm.auc(train = True))\n",
"print(label[key], \"validation score\", airlines_gbm.auc(valid = True))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment