HW4-Notebook-Final.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Printing plot for all features\n",
      "8 no of features selected: ['categoryname', 'thrcnt_week', 'thrcnt_month', 'ip', 'thrcnt_day', 'ipcategory_name', 'flowscore', 'isiptrusted']\n",
      "plotting BQM model graph\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      \n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };var element = document.getElementById(\"1001\");\n",
       "  if (element == null) {\n",
       "    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.0.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      \n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.0.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: Importing from_networkx from bokeh.models.graphs is deprecated and will be removed in Bokeh 3.0. Import from bokeh.plotting instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"4c0c8d6f-7b19-4cba-a757-fc0360201fd0\" data-root-id=\"1027\"></div>\n"
      ]
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     "metadata": {},
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    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"352a47f4-952f-4aca-8b50-a967b74b6f0c\":{\"roots\":{\"references\":[{\"attributes\":{\"background_fill_color\":\"lightyellow\",\"center\":[{\"id\":\"1023\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"1002\"}],\"title\":{\"id\":\"1030\"},\"toolbar\":{\"id\":\"1036\"},\"x_range\":{\"id\":\"1025\"},\"x_scale\":{\"id\":\"1043\"},\"y_range\":{\"id\":\"1026\"},\"y_scale\":{\"id\":\"1045\"}},\"id\":\"1027\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1043\",\"type\":\"LinearScale\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":{\"id\":\"1031\"},\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1031\"},{\"id\":\"1032\"},{\"id\":\"1033\"},{\"id\":\"1034\"},{\"id\":\"1035\"}]},\"id\":\"1036\",\"type\":\"Toolbar\"},{\"attributes\":{\"data\":{\"index\":[\"categoryname\",\"thrcnt_week\",\"thrcnt_month\",\"ip\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\"]},\"selected\":{\"id\":\"1058\"},\"selection_policy\":{\"id\":\"1059\"}},\"id\":\"1004\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"1004\"},\"glyph\":{\"id\":\"1012\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1006\"}},\"id\":\"1005\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"level\":\"glyph\",\"source\":{\"id\":\"1022\"},\"text\":{\"field\":\"label\"},\"text_color\":{\"value\":\"blue\"},\"text_font_size\":{\"value\":\"14pt\"},\"text_font_style\":\"bold\",\"x\":{\"field\":\"xpos\"},\"x_offset\":{\"value\":-1},\"y\":{\"field\":\"ypos\"},\"y_offset\":{\"value\":-1}},\"id\":\"1023\",\"type\":\"LabelSet\"},{\"attributes\":{\"source\":{\"id\":\"1004\"}},\"id\":\"1006\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1058\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"label\":[\"categoryname\",\"thrcnt_week\",\"thrcnt_month\",\"ip\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\"],\"xpos\":[0.18717651790163867,0.9814077529036065,0.32844012851900384,0.8015267860734289,-0.9594060837152693,-0.46745897690449845,-0.7910994218937627,-0.08058670288414774],\"ypos\":[-0.0855770134778941,0.3244130971796984,0.9050021182616091,-0.6631057751234765,0.21593710510997088,0.8669686006172551,-0.5636381325671632,-1.0]},\"selected\":{\"id\":\"1056\"},\"selection_policy\":{\"id\":\"1057\"}},\"id\":\"1022\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data\":{\"end\":[\"thrcnt_week\",\"thrcnt_month\",\"ip\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\",\"thrcnt_month\",\"ip\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\",\"ip\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\",\"thrcnt_day\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\",\"ipcategory_name\",\"flowscore\",\"isiptrusted\",\"flowscore\",\"isiptrusted\",\"isiptrusted\"],\"start\":[\"categoryname\",\"categoryname\",\"categoryname\",\"categoryname\",\"categoryname\",\"categoryname\",\"categoryname\",\"thrcnt_week\",\"thrcnt_week\",\"thrcnt_week\",\"thrcnt_week\",\"thrcnt_week\",\"thrcnt_week\",\"thrcnt_month\",\"thrcnt_month\",\"thrcnt_month\",\"thrcnt_month\",\"thrcnt_month\",\"ip\",\"ip\",\"ip\",\"ip\",\"thrcnt_day\",\"thrcnt_day\",\"thrcnt_day\",\"ipcategory_name\",\"ipcategory_name\",\"flowscore\"]},\"selected\":{\"id\":\"1060\"},\"selection_policy\":{\"id\":\"1061\"}},\"id\":\"1008\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"edge_renderer\":{\"id\":\"1009\"},\"inspection_policy\":{\"id\":\"1051\"},\"layout_provider\":{\"id\":\"1011\"},\"node_renderer\":{\"id\":\"1005\"},\"selection_policy\":{\"id\":\"1046\"}},\"id\":\"1002\",\"type\":\"GraphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.25},\"fill_color\":{\"value\":\"purple\"},\"size\":{\"units\":\"screen\",\"value\":35}},\"id\":\"1012\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1059\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"1008\"},\"glyph\":{\"id\":\"1017\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1010\"}},\"id\":\"1009\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"end\":1.3,\"start\":-1.3},\"id\":\"1025\",\"type\":\"Range1d\"},{\"attributes\":{\"source\":{\"id\":\"1008\"}},\"id\":\"1010\",\"type\":\"CDSView\"},{\"attributes\":{\"end\":1.3,\"start\":-1.3},\"id\":\"1026\",\"type\":\"Range1d\"},{\"attributes\":{\"text\":\"BQM with 8 nodes and 28 edges\"},\"id\":\"1030\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"NodesOnly\"},{\"attributes\":{},\"id\":\"1033\",\"type\":\"ZoomOutTool\"},{\"attributes\":{},\"id\":\"1060\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1051\",\"type\":\"NodesOnly\"},{\"attributes\":{\"graph_layout\":{\"categoryname\":[-0.46063064076104593,0.8811677338231724],\"flowscore\":[0.028093915253762633,-1.0],\"ip\":[0.9594750602257661,0.24976740572904158],\"ipcategory_name\":[0.7952107726801109,-0.5967104685447473],\"isiptrusted\":[0.005709470331584633,0.002984739007759526],\"thrcnt_day\":[-0.753638119071714,-0.6396663797091722],\"thrcnt_month\":[0.4042797877343562,0.9128651438048209],\"thrcnt_week\":[-0.978500246392819,0.18959182588912327]}},\"id\":\"1011\",\"type\":\"StaticLayoutProvider\"},{\"attributes\":{},\"id\":\"1032\",\"type\":\"ZoomInTool\"},{\"attributes\":{},\"id\":\"1061\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1031\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"line_alpha\":{\"value\":0.8},\"line_width\":{\"value\":2}},\"id\":\"1017\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"1057\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1034\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1056\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1035\",\"type\":\"ResetTool\"}],\"root_ids\":[\"1027\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.0\"}};\n",
       "  var render_items = [{\"docid\":\"352a47f4-952f-4aca-8b50-a967b74b6f0c\",\"root_ids\":[\"1027\"],\"roots\":{\"1027\":\"4c0c8d6f-7b19-4cba-a757-fc0360201fd0\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1027"
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----- Pre-processing done -----\n",
      "\n",
      "Tabu Sampler....\n",
      "Submitting for k=1\n",
      "Submitting for k=2\n",
      "Submitting for k=3\n",
      "Submitting for k=4\n",
      "Submitting for k=5\n",
      "Submitting for k=6\n",
      "Submitting for k=7\n",
      "Submitting for k=8\n",
      "Wall time: 4.86 s\n",
      "\n",
      "Simulated Annealing....\n",
      "Submitting for k=1\n",
      "Submitting for k=2\n",
      "Submitting for k=3\n",
      "Submitting for k=4\n",
      "Submitting for k=5\n",
      "Submitting for k=6\n",
      "Submitting for k=7\n",
      "Submitting for k=8\n",
      "Wall time: 147 ms\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import timeit\n",
    "\n",
    "from main import QuantumFeatureSelection\n",
    "hw4 = QuantumFeatureSelection()\n",
    "\n",
    "# Running the Tabu Sampler and Simmulated Annealing\n",
    "%time hw4.tabu_sampler()\n",
    "%time hw4.simulated_annealing()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "D-wave quantum annealer....\n",
      "Maximum chain length for minor embedding is 3.\n",
      "Submitting for k=1\n",
      "Submitting for k=2\n",
      "Submitting for k=3\n",
      "Submitting for k=4\n",
      "Submitting for k=5\n",
      "Submitting for k=6\n",
      "Submitting for k=7\n",
      "Submitting for k=8\n",
      "Wall time: 2min 19s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Running Feature Selection on the D-Wave Quantum Annealer\n",
    "%time hw4.dwave_physical_DW_2000Q_5()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      " *** Setting up 30 features to select from for D-Wave Quantum Annealer to solve Feature Selection *** \n",
      "Printing plot for all features\n",
      "30 no of features selected: ['categoryname', 'thrcnt_week', 'ip', 'eventname_cd', 'thrcnt_month', 'thrcnt_day', 'p6', 'p8w', 'ipcategory_name', 'flowscore', 'p5d', 'dstportcategory_dominate', 'srcipcategory_cd', 'p8d', 'srcipcategory_dominate', 'parent_category', 'p5w', 'overallseverity', 'timestamp_dist', 'direction_cd', 'srcportcategory_dominate', 'p8m', 'start_hour', 'p5m', 'ipcategory_scope', 'alerttype_cd', 'dstipcategory_cd', 'untrustscore', 'severity_cd', 'isiptrusted']\n",
      "plotting BQM model graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: Importing from_networkx from bokeh.models.graphs is deprecated and will be removed in Bokeh 3.0. Import from bokeh.plotting instead\n"
     ]
    },
    {
     "data": {
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       "\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
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Application\",\"version\":\"2.0.0\"}};\n",
       "  var render_items = [{\"docid\":\"8a1b42e9-7f22-4778-be4b-9ea132042205\",\"root_ids\":[\"1227\"],\"roots\":{\"1227\":\"e63b9f83-86c4-4cea-aa9f-28e7e5a342a3\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1227"
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----- Pre-processing done -----\n",
      "\n",
      "D-wave quantum annealer....\n",
      "Maximum chain length for minor embedding is 9.\n",
      "Submitting for k=1\n",
      "Submitting for k=2\n",
      "Submitting for k=3\n",
      "Submitting for k=4\n",
      "Submitting for k=5\n",
      "Submitting for k=6\n",
      "Submitting for k=7\n",
      "Submitting for k=8\n",
      "Submitting for k=9\n",
      "Submitting for k=10\n",
      "Submitting for k=11\n",
      "Submitting for k=12\n",
      "Submitting for k=13\n",
      "Submitting for k=14\n",
      "Submitting for k=15\n",
      "Submitting for k=16\n",
      "Submitting for k=17\n",
      "Submitting for k=18\n",
      "Submitting for k=19\n",
      "Submitting for k=20\n",
      "Submitting for k=21\n",
      "Submitting for k=22\n",
      "Submitting for k=23\n",
      "Submitting for k=24\n",
      "Submitting for k=25\n",
      "Submitting for k=26\n",
      "Submitting for k=27\n",
      "Submitting for k=28\n",
      "Submitting for k=29\n",
      "Submitting for k=30\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"\\n\\n *** Setting up 30 features to select from for D-Wave Quantum Annealer to solve Feature Selection *** \")\n",
    "qfs_30 = QuantumFeatureSelection(max_features=30)\n",
    "qfs_30.dwave_physical_DW_2000Q_5()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Printing plot for all features\n",
      "30 no of features selected: ['p5m', 'p8m', 'overallseverity', 'ipcategory_name', 'timestamp_dist', 'ipcategory_scope', 'direction_cd', 'ip', 'p5d', 'srcipcategory_cd', 'thrcnt_day', 'thrcnt_month', 'dstportcategory_dominate', 'thrcnt_week', 'severity_cd', 'p8w', 'p6', 'parent_category', 'flowscore', 'srcportcategory_dominate', 'isiptrusted', 'p5w', 'srcipcategory_dominate', 'untrustscore', 'alerttype_cd', 'categoryname', 'eventname_cd', 'p8d', 'dstipcategory_cd', 'start_hour']\n",
      "plotting BQM model graph\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: Importing from_networkx from bokeh.models.graphs is deprecated and will be removed in Bokeh 3.0. Import from bokeh.plotting instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
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       "\n",
       "\n",
       "\n",
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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Application\",\"version\":\"2.0.0\"}};\n",
       "  var render_items = [{\"docid\":\"2d69ab28-1b05-4087-a2ff-4fc748ce95ba\",\"root_ids\":[\"2847\"],\"roots\":{\"2847\":\"6e9f6911-2c12-4c6d-8ceb-a82cdfc1242b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2847"
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----- Pre-processing done -----\n",
      "\n",
      "Simulated Annealing....\n",
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      "Submitting for k=27\n",
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      "Submitting for k=29\n",
      "Submitting for k=30\n",
      "Wall time: 1.85 s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from main import QuantumFeatureSelection\n",
    "qfs = QuantumFeatureSelection(max_features=30)\n",
    "# %time qfs.tabu_sampler()\n",
    "# %time qfs.simulated_annealing()\n",
    "# qfs.dwave_physical_DW_2000Q_5()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Printing plot for all features\n",
      "60 no of features selected: ['enforcementscore', 'isiptrusted', 'ip', 'ipcategory_name', 'n7', 'p8w', 'start_hour', 'eventname_cd', 'correlatedcount', 'thrcnt_month', 'p9', 'p5w', 'srcipcategory_cd', 'dstipcategory_cd', 'devicevendor_cd', 'dstportcategory_dominate', 'n4', 'n10', 'overallseverity', 'alerttype_cd', 'start_second', 'thrcnt_day', 'score', 'srcportcategory_dominate', 'protocol_cd', 'p5m', 'p5d', 'devicetype_cd', 'dstipcategory_dominate', 'p8m', 'p8d', 'direction_cd', 'parent_category', 'timestamp_dist', 'untrustscore', 'trustscore', 'n6', 'severity_cd', 'n1', 'n9', 'start_minute', 'weekday', 'n3', 'grandparent_category', 'srcport_cd', 'n5', 'categoryname', 'srcipcategory_dominate', 'reportingdevice_cd', 'n2', 'p6', 'dstip_cd', 'dstport_cd', 'domain_cd', 'flowscore', 'thrcnt_week', 'n8', 'ipcategory_scope', 'username_cd', 'srcip_cd']\n",
      "plotting BQM model graph\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      \n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };var element = document.getElementById(\"1001\");\n",
       "  if (element == null) {\n",
       "    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.0.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      \n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.0.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "BokehDeprecationWarning: Importing from_networkx from bokeh.models.graphs is deprecated and will be removed in Bokeh 3.0. Import from bokeh.plotting instead\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"f5796ec6-4ac9-4d7b-8812-053b6d11776b\" data-root-id=\"1027\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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edges\"},\"id\":\"1030\",\"type\":\"Title\"},{\"attributes\":{\"line_alpha\":{\"value\":0.8},\"line_width\":{\"value\":2}},\"id\":\"1017\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"1057\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"graph_layout\":{\"alerttype_cd\":[-0.6773601159807515,-0.19674257817366078],\"categoryname\":[0.9999999999999999,-0.1000202689556957],\"correlatedcount\":[0.027384901604865744,-0.5239769622957838],\"devicetype_cd\":[0.6829071573481087,-0.4708255452471073],\"devicevendor_cd\":[0.19843966313981215,-0.7888842914976952],\"direction_cd\":[0.5566254384260779,-0.2485754476666248],\"domain_cd\":[-0.6270628638411443,0.7824739180284107],\"dstip_cd\":[-0.6372398247265504,0.3553420392538429],\"dstipcategory_cd\":[-0.20695841779289254,-0.9492909633706145],\"dstipcategory_dominate\":[0.3415656625854593,-0.2598302815515119],\"dstport_cd\":[0.5135466841286733,-0.58953677676605],\"dstportcategory_dominate\":[-0.7571319522746656,-0.3889106614770215],\"enforcementscore\":[0.90655754677363,0.10237576347119523],\"eventname_cd\":[-0.08633366159711611,-0.3021904390397666],\"flowscore\":[-0.04502605788795965,0.8840432198963697],\"grandparent_category\":[-0.07681469623610791,0.42197652570842],\"ip\":[0.4278288970470178,-0.7560251414591682],\"ipcategory_name\":[-0.39072307598983375,0.904056092488105],\"ipcategory_scope\":[-0.849515699642367,0.5056214010828679],\"isiptrusted\":[-0.41538799673940424,0.11483007366739703],\"n1\":[-0.6323250601149609,-0.8082909823508311],\"n10\":[-0.4542895427493279,-0.29327829565273955],\"n2\":[-0.1915890393179825,0.8767755592132007],\"n3\":[-0.377729621021683,-0.8288089893362042],\"n4\":[0.4794899169540133,0.6997141847575772],\"n5\":[0.7623912452283867,0.5280634015847692],\"n6\":[-0.9843873922587653,0.1070489773371892],\"n7\":[-0.5095165974548567,-0.5933279964220736],\"n8\":[0.26948568639910997,-0.9877889991360311],\"n9\":[-0.61181090154971,0.5632368433508914],\"overallseverity\":[0.6719326078244212,0.7646547832802781],\"p5d\":[-0.3928593886786412,0.6585660609161249],\"p5m\":[0.2564767297028081,-0.5147961627166813],\"p5w\":[0.13209935434730294,0.7381038258611229],\"p6\":[-0.13560924648661446,0.6222515135740365],\"p8d\":[-0.844305224322,-0.07846900642847854],\"p8m\":[0.9176998487757632,-0.4319306565338894],\"p8w\":[-0.9896067554672713,-0.29209169761395626],\"p9\":[0.9196055917861051,0.3633274740289751],\"parent_category\":[0.332494273106635,0.7760208785029152],\"protocol_cd\":[0.7199300930429479,0.25740483999571706],\"reportingdevice_cd\":[0.6698989721783049,0.00805136213749577],\"score\":[0.1266738888879187,-0.12041138076840102],\"severity_cd\":[0.7069709657074749,-0.7539304123181299],\"srcip_cd\":[0.38937341887231874,0.02935399036580346],\"srcipcategory_cd\":[0.13653029020814214,0.2181178843441373],\"srcipcategory_dominate\":[-0.18213234030412226,-0.7556271724865856],\"srcport_cd\":[-0.7489621471847837,-0.5501427998249714],\"srcportcategory_dominate\":[0.4344010990413991,0.262110458446325],\"start_hour\":[-0.34219004418648,0.3603703928496596],\"start_minute\":[0.22424808132291282,0.46258536359550056],\"start_second\":[0.5092155659651311,0.48664328436116133],\"thrcnt_day\":[-0.2710559344925984,-0.1023137652658425],\"thrcnt_month\":[0.02048259080606411,-0.8604493820111191],\"thrcnt_week\":[-0.26434484815650205,-0.50693421925502],\"timestamp_dist\":[-0.6643259998564819,0.0951921889416604],\"trustscore\":[0.7952962995475024,-0.22237224118897977],\"untrustscore\":[0.19069183949114513,0.9823911942276654],\"username_cd\":[-0.8604862193582875,0.28272987289360507],\"weekday\":[-0.09316364457957804,0.062340148648223924]}},\"id\":\"1011\",\"type\":\"StaticLayoutProvider\"}],\"root_ids\":[\"1027\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.0\"}};\n",
       "  var render_items = [{\"docid\":\"6feca4bd-c3fd-4d3a-9fbf-1210539ce118\",\"root_ids\":[\"1027\"],\"roots\":{\"1027\":\"f5796ec6-4ac9-4d7b-8812-053b6d11776b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1027"
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----- Pre-processing done -----\n",
      "\n",
      "D-wave quantum annealer....\n",
      "Maximum chain length for minor embedding is 17.\n",
      "Submitting for k=1\n",
      "Submitting for k=2\n",
      "Submitting for k=3\n",
      "Submitting for k=4\n",
      "Submitting for k=5\n",
      "Submitting for k=6\n",
      "Submitting for k=7\n",
      "Submitting for k=8\n",
      "Submitting for k=9\n",
      "Submitting for k=10\n",
      "Submitting for k=11\n",
      "Submitting for k=12\n",
      "Submitting for k=13\n",
      "Submitting for k=14\n",
      "Submitting for k=15\n",
      "Submitting for k=16\n",
      "Submitting for k=17\n",
      "Submitting for k=18\n",
      "Submitting for k=19\n",
      "Submitting for k=20\n",
      "Submitting for k=21\n",
      "Submitting for k=22\n",
      "Submitting for k=23\n",
      "Submitting for k=24\n",
      "Submitting for k=25\n",
      "Submitting for k=26\n",
      "Submitting for k=27\n",
      "Submitting for k=28\n",
      "Submitting for k=29\n",
      "Submitting for k=30\n",
      "Submitting for k=31\n",
      "Submitting for k=32\n",
      "Submitting for k=33\n",
      "Submitting for k=34\n",
      "Submitting for k=35\n",
      "Submitting for k=36\n",
      "Submitting for k=37\n",
      "Submitting for k=38\n",
      "Submitting for k=39\n",
      "Submitting for k=40\n",
      "Submitting for k=41\n",
      "Submitting for k=42\n",
      "Submitting for k=43\n",
      "Submitting for k=44\n",
      "Submitting for k=45\n",
      "Submitting for k=46\n",
      "Submitting for k=47\n",
      "Submitting for k=48\n",
      "Submitting for k=49\n",
      "Submitting for k=50\n",
      "Submitting for k=51\n",
      "Submitting for k=52\n",
      "Submitting for k=53\n",
      "Submitting for k=54\n",
      "Submitting for k=55\n",
      "Submitting for k=56\n",
      "Submitting for k=57\n",
      "Submitting for k=58\n",
      "Submitting for k=59\n",
      "Submitting for k=60\n",
      "Wall time: 19min 54s\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from main import QuantumFeatureSelection\n",
    "qfs_60 = QuantumFeatureSelection(max_features=60)\n",
    "%time qfs_60.dwave_physical_DW_2000Q_5()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}