examples/plotly/notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7bf6a40d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-20T06:21:27.406089Z",
     "start_time": "2023-11-20T06:21:25.198718Z"
    }
   },
   "outputs": [],
   "source": [
    "import model_training\n",
    "\n",
    "from hamilton import driver\n",
    "from hamilton.io.materialization import to"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7a449245",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-20T06:21:27.443007Z",
     "start_time": "2023-11-20T06:21:27.440097Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Note: Hamilton collects completely anonymous data about usage. This will help us improve Hamilton over time. See https://github.com/dagworks-inc/hamilton#usage-analytics--data-privacy for details.\n"
     ]
    }
   ],
   "source": [
    "dag_config = {\n",
    "    \"test_size_fraction\": 0.95,\n",
    "    \"shuffle_train_test_split\": True,\n",
    "    \"data_loader\" : \"digits\",\n",
    "    \"clf\" : \"svm\",\n",
    "    \"penalty\" : \"l2\"\n",
    "}\n",
    "dr = (\n",
    "    driver.Builder()\n",
    "    .with_config(dag_config)\n",
    "    .with_modules(model_training)\n",
    "    .build()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "397b09bc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-20T06:21:27.907847Z",
     "start_time": "2023-11-20T06:21:27.440712Z"
    }
   },
   "outputs": [
    {
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-->\n<g id=\"edge4\" class=\"edge\">\n<title>_prefit_clf_inputs&#45;&gt;prefit_clf</title>\n<path fill=\"none\" stroke=\"black\" d=\"M491.71,-31.8C504.69,-31.8 518.73,-31.8 532.19,-31.8\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"531.82,-35.3 541.82,-31.8 531.82,-28.3 531.82,-35.3\"/>\n</g>\n<!-- _train_test_split_func_inputs -->\n<g id=\"node20\" class=\"node\">\n<title>_train_test_split_func_inputs</title>\n<polygon fill=\"none\" stroke=\"black\" stroke-dasharray=\"5,2\" points=\"331.7,-391.6 137.1,-391.6 137.1,-326 331.7,-326 331.7,-391.6\"/>\n<text text-anchor=\"start\" x=\"151.77\" y=\"-363.5\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">shuffle_train_test_split</text>\n<text text-anchor=\"start\" x=\"291.65\" y=\"-363.5\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">bool</text>\n<text text-anchor=\"start\" x=\"166.4\" y=\"-342.5\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">test_size_fraction</text>\n<text text-anchor=\"start\" x=\"291.65\" y=\"-342.5\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">float</text>\n</g>\n<!-- _train_test_split_func_inputs&#45;&gt;train_test_split_func -->\n<g id=\"edge11\" class=\"edge\">\n<title>_train_test_split_func_inputs&#45;&gt;train_test_split_func</title>\n<path fill=\"none\" stroke=\"black\" d=\"M316.04,-325.52C327.36,-320.84 339.04,-316.03 350.46,-311.31\"/>\n<polygon fill=\"black\" stroke=\"black\" points=\"351.51,-314.25 359.41,-307.2 348.84,-307.78 351.51,-314.25\"/>\n</g>\n<!-- input -->\n<g id=\"node21\" class=\"node\">\n<title>input</title>\n<polygon fill=\"none\" stroke=\"black\" stroke-dasharray=\"5,2\" points=\"89.05,-531.1 35.05,-531.1 35.05,-494.5 89.05,-494.5 89.05,-531.1\"/>\n<text text-anchor=\"middle\" x=\"62.05\" y=\"-507\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">input</text>\n</g>\n<!-- function -->\n<g id=\"node22\" class=\"node\">\n<title>function</title>\n<path fill=\"#b4d8e4\" stroke=\"black\" 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font-size=\"14.00\">output</text>\n</g>\n<!-- materializer -->\n<g id=\"node24\" class=\"node\">\n<title>materializer</title>\n<path fill=\"none\" stroke=\"black\" d=\"M108.1,-362.34C108.1,-364.37 87.46,-366.01 62.05,-366.01 36.64,-366.01 16,-364.37 16,-362.34 16,-362.34 16,-329.26 16,-329.26 16,-327.23 36.64,-325.59 62.05,-325.59 87.46,-325.59 108.1,-327.23 108.1,-329.26 108.1,-329.26 108.1,-362.34 108.1,-362.34\"/>\n<path fill=\"none\" stroke=\"black\" d=\"M108.1,-362.34C108.1,-360.31 87.46,-358.66 62.05,-358.66 36.64,-358.66 16,-360.31 16,-362.34\"/>\n<text text-anchor=\"middle\" x=\"62.05\" y=\"-340\" font-family=\"Helvetica,sans-Serif\" font-size=\"14.00\">materializer</text>\n</g>\n</g>\n</svg>\n",
      "text/plain": "<graphviz.graphs.Digraph at 0x146a51850>"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "materializers = [\n",
    "        to.plotly(\n",
    "            dependencies=[\"confusion_matrix_figure\"],\n",
    "            id=\"confusion_matrix_png\",\n",
    "            path=\"./static.png\",\n",
    "        ),\n",
    "        to.html(\n",
    "            dependencies=[\"confusion_matrix_figure\"],\n",
    "            id=\"confusion_matrix_html\",\n",
    "            path=\"./interactive.html\",\n",
    "        ),\n",
    "    ]\n",
    "\n",
    "dr.visualize_materialization(*materializers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7ee3a7b2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-20T06:21:29.472853Z",
     "start_time": "2023-11-20T06:21:27.912356Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "({'confusion_matrix_png': {'size': 29058,\n   'path': './static.png',\n   'last_modified': 1700461289.1922433,\n   'timestamp': 1700490089.192551},\n  'confusion_matrix_html': {'size': 3607064,\n   'path': './interactive.html',\n   'last_modified': 1700461289.2231884,\n   'timestamp': 1700490089.425375}},\n {})"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dr.materialize(*materializers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "6760ac6885343fb8"
  }
 ],
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