{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing GraphLab's LDA TopicModel with pyLDAvis\n",
    "\n",
    "This is an example of how to use [`pyLDAvis`](https://github.com/bmabey/pyLDAvis) [helper functions](https://pyldavis.readthedocs.org/en/latest/modules/API.html#module-pyLDAvis.graphlab) to visualize a GraphLab Create Topic Model model. For our example model we will be extending the example provided by [GraphLab's own documenation](https://dato.com/products/create/docs/generated/graphlab.topic_model.create.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import graphlab as gl\n",
    "import pyLDAvis\n",
    "import pyLDAvis.graphlab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# turn on automatic rendering of visualizations\n",
    "pyLDAvis.enable_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/dir_archive.ini to /var/tmp/graphlab-bmabey/7868/000000.ini\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/objects.bin to /var/tmp/graphlab-bmabey/7868/000001.bin\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.sidx to /var/tmp/graphlab-bmabey/7868/000002.sidx\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0000 to /var/tmp/graphlab-bmabey/7868/000003.0000\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0001 to /var/tmp/graphlab-bmabey/7868/000004.0001\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0002 to /var/tmp/graphlab-bmabey/7868/000005.0002\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0003 to /var/tmp/graphlab-bmabey/7868/000006.0003\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0004 to /var/tmp/graphlab-bmabey/7868/000007.0004\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0005 to /var/tmp/graphlab-bmabey/7868/000008.0005\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0006 to /var/tmp/graphlab-bmabey/7868/000009.0006\n",
      "PROGRESS: Downloading http://s3.amazonaws.com/GraphLab-Datasets/nytimes/m_2ae8944a.0007 to /var/tmp/graphlab-bmabey/7868/000010.0007\n"
     ]
    }
   ],
   "source": [
    "docs = gl.SArray('http://s3.amazonaws.com/GraphLab-Datasets/nytimes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gl.topic_model.create?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRESS: Learning a topic model\n",
      "PROGRESS:        Number of documents     10000\n",
      "PROGRESS:            Vocabulary size     63958\n",
      "PROGRESS:    Running collapsed Gibbs sampling\n",
      "PROGRESS: +-----------+---------------+----------------+-----------------+\n",
      "PROGRESS: | Iteration | Elapsed Time  | Tokens/Second  | Est. Perplexity |\n",
      "PROGRESS: +-----------+---------------+----------------+-----------------+\n",
      "PROGRESS: | 10        | 4.30s         | 5.59845e+06    | 0               |\n",
      "PROGRESS: | 20        | 8.08s         | 5.65802e+06    | 0               |\n",
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      "PROGRESS: | 2950      | 21m 53s       | 4.93341e+06    | 0               |\n",
      "PROGRESS: | 2960      | 21m 58s       | 4.83688e+06    | 0               |\n",
      "PROGRESS: | 2970      | 22m 2s        | 5.00597e+06    | 0               |\n",
      "PROGRESS: | 2980      | 22m 7s        | 4.7511e+06     | 0               |\n",
      "PROGRESS: | 2990      | 22m 11s       | 4.57458e+06    | 0               |\n",
      "PROGRESS: | 3000      | 22m 17s       | 3.65077e+06    | 0               |\n",
      "PROGRESS: +-----------+---------------+----------------+-----------------+\n",
      "CPU times: user 432 ms, sys: 647 ms, total: 1.08 s\n",
      "Wall time: 22min 19s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "topic_model = gl.topic_model.create(docs, num_topics=15, num_iterations=3000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/master/pyLDAvis/js/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el782248364974887174136194\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el782248364974887174136194_data = {\"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [7, 6, 13, 12, 15, 3, 1, 2, 11, 14, 10, 4, 8, 9, 5], \"token.table\": {\"Topic\": [2, 1, 15, 12, 2, 5, 6, 7, 8, 9, 11, 12, 14, 6, 6, 1, 3, 4, 6, 8, 10, 13, 14, 15, 2, 4, 5, 7, 9, 5, 9, 3, 11, 13, 14, 15, 1, 5, 7, 1, 2, 6, 7, 10, 11, 12, 7, 12, 11, 12, 11, 6, 15, 1, 2, 5, 7, 8, 9, 10, 11, 13, 14, 15, 1, 5, 13, 3, 4, 8, 11, 1, 2, 6, 7, 14, 8, 3, 7, 8, 11, 12, 13, 7, 11, 11, 14, 6, 8, 10, 12, 13, 13, 5, 6, 8, 10, 13, 1, 2, 4, 7, 8, 11, 12, 13, 2, 3, 4, 7, 8, 11, 14, 1, 5, 8, 3, 14, 2, 3, 5, 8, 10, 11, 7, 1, 2, 4, 6, 9, 11, 13, 6, 8, 9, 13, 15, 7, 11, 4, 6, 7, 13, 14, 3, 4, 9, 10, 11, 14, 15, 3, 7, 10, 14, 15, 2, 6, 10, 11, 4, 12, 3, 14, 2, 5, 9, 11, 1, 2, 3, 7, 10, 1, 2, 5, 8, 12, 15, 2, 4, 9, 10, 11, 15, 8, 9, 10, 11, 12, 7, 11, 12, 13, 14, 2, 10, 11, 5, 10, 11, 6, 9, 13, 15, 5, 11, 12, 13, 3, 15, 4, 6, 7, 11, 15, 13, 14, 15, 4, 6, 7, 11, 14, 1, 3, 4, 5, 6, 11, 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       "\n",
       "function LDAvis_load_lib(url, callback){\n",
       "  var s = document.createElement('script');\n",
       "  s.src = url;\n",
       "  s.async = true;\n",
       "  s.onreadystatechange = s.onload = callback;\n",
       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
       "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "}\n",
       "\n",
       "if(typeof(LDAvis) !== \"undefined\"){\n",
       "   // already loaded: just create the visualization\n",
       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el782248364974887174136194\", ldavis_el782248364974887174136194_data);\n",
       "   }(LDAvis);\n",
       "}else if(typeof define === \"function\" && define.amd){\n",
       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/master/pyLDAvis/js/ldavis.v1.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el782248364974887174136194\", ldavis_el782248364974887174136194_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/master/pyLDAvis/js/ldavis.v1.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el782248364974887174136194\", ldavis_el782248364974887174136194_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "PreparedData(topic_coordinates=           Freq  cluster  topics         x         y\n",
       "topic                                               \n",
       "6      8.909169        1       1 -0.083716 -0.068616\n",
       "5      8.839272        1       2 -0.177491  0.055107\n",
       "12     8.312294        1       3  0.100675  0.289403\n",
       "11     7.652615        1       4  0.062355  0.093847\n",
       "14     7.028000        1       5 -0.194651  0.010916\n",
       "2      6.802032        1       6  0.155845 -0.008784\n",
       "0      6.597788        1       7 -0.223110  0.016532\n",
       "1      6.575814        1       8 -0.075709 -0.096276\n",
       "10     6.142479        1       9 -0.054644 -0.055411\n",
       "13     5.901158        1      10  0.161956 -0.085644\n",
       "9      5.861304        1      11 -0.110989 -0.001673\n",
       "3      5.856388        1      12  0.090985 -0.048802\n",
       "7      5.767169        1      13  0.062811 -0.175730\n",
       "8      5.208863        1      14  0.100993  0.224601\n",
       "4      4.545656        1      15  0.184690 -0.149470, topic_info=      Category         Freq         Term  Total  loglift  logprob\n",
       "16925  Default  7169.000000         team   7169  30.0000  30.0000\n",
       "38580  Default  6485.000000         game   6485  29.0000  29.0000\n",
       "55943  Default  5783.000000     campaign   5783  28.0000  28.0000\n",
       "2121   Default  6311.000000      company   6311  27.0000  27.0000\n",
       "36784  Default  4654.000000  zzz_al_gore   4654  26.0000  26.0000\n",
       "63915  Default  8483.000000      percent   8483  25.0000  25.0000\n",
       "20429  Default  3476.000000          com   3476  24.0000  24.0000\n",
       "61323  Default  5401.000000       season   5401  23.0000  23.0000\n",
       "17214  Default  7285.000000      million   7285  22.0000  22.0000\n",
       "44852  Default  3437.000000        coach   3437  21.0000  21.0000\n",
       "...        ...          ...          ...    ...      ...      ...\n",
       "48104  Topic15   433.706899          hot    843   2.4329  -5.7727\n",
       "60975  Topic15   532.692741        water   1539   2.0324  -5.5712\n",
       "33913  Topic15   566.918221        large   1998   1.8133  -5.5294\n",
       "50600  Topic15   410.361383        pound    861   2.3581  -5.8264\n",
       "3051   Topic15   515.618588        makes   1954   1.7480  -5.6169\n",
       "34823  Topic15   367.441870        fresh    608   2.6032  -5.9292\n",
       "63734  Topic15   545.702544         book   3124   1.3341  -5.5616\n",
       "56934  Topic15   367.239628       french    873   2.2302  -5.9404\n",
       "9965   Topic15   412.950185         hour   3053   1.0721  -5.8466\n",
       "2023   Topic15   382.225792        small   2385   1.2419  -5.9237\n",
       "\n",
       "[1936 rows x 6 columns], token_table=       Topic      Freq                   Term\n",
       "term                                         \n",
       "1163       2  0.997854               abortion\n",
       "48322      1  0.988142            acquisition\n",
       "48322     15  0.003953            acquisition\n",
       "27155     12  0.993464                  acres\n",
       "17994      2  0.035743                 action\n",
       "17994      5  0.057677                 action\n",
       "17994      6  0.068237                 action\n",
       "17994      7  0.569456                 action\n",
       "17994      8  0.036556                 action\n",
       "17994      9  0.127539                 action\n",
       "...      ...       ...                    ...\n",
       "21449      3  0.129301         zzz_washington\n",
       "21449      5  0.210793         zzz_washington\n",
       "21449      7  0.308946         zzz_washington\n",
       "21449     13  0.150308         zzz_washington\n",
       "21449     15  0.015936         zzz_washington\n",
       "43666      5  0.993976         zzz_will_putin\n",
       "25684     14  0.990566          zzz_world_cup\n",
       "25740     14  0.991071       zzz_world_series\n",
       "49940      4  0.977778     zzz_young_children\n",
       "49282     11  0.992126  zzz_zeljko_raznatovic\n",
       "\n",
       "[3003 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[7, 6, 13, 12, 15, 3, 1, 2, 11, 14, 10, 4, 8, 9, 5])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyLDAvis.graphlab.prepare(topic_model, docs)"
   ]
  }
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