examples/ecml2022/show_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define experiments to show in one figure/table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import utils as ut\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "exp_visual_sudoku = [\n",
    "        {\"label\": \"MR loss, missing=0%\", \"dataset\": \"sudoku_1000_100_100_mis0_2000\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=0%\", \"dataset\": \"sudoku_1000_100_100_mis0_2000\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=10%\", \"dataset\": \"sudoku_1000_100_100_mis10_2000\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=10%\", \"dataset\": \"sudoku_1000_100_100_mis10_2000\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=20%\", \"dataset\": \"sudoku_1000_100_100_mis20_2000\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=20%\", \"dataset\": \"sudoku_1000_100_100_mis20_2000\", \"setup\": \"adam_advhomo\"}\n",
    "      ]\n",
    "\n",
    "exp_symbolic_sudoku = [\n",
    "        {\"label\": \"MR loss, missing=0%\", \"dataset\": \"sudoku_1000_100_100_mis0\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=0%\", \"dataset\": \"sudoku_1000_100_100_mis0\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=10%\", \"dataset\": \"sudoku_1000_100_100_mis10\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=10%\", \"dataset\": \"sudoku_1000_100_100_mis10\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=20%\", \"dataset\": \"sudoku_1000_100_100_mis20\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=20%\", \"dataset\": \"sudoku_1000_100_100_mis20\", \"setup\": \"adam_advhomo\"}\n",
    "      ]\n",
    "\n",
    "exp_hmc = [\n",
    "        {\"label\": \"MR  loss, missing=0%\", \"dataset\": \"hmc_30x30x100_mis0\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=0%\", \"dataset\": \"hmc_30x30x100_mis0\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=10%\", \"dataset\": \"hmc_30x30x100_mis10\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=10%\", \"dataset\": \"hmc_30x30x100_mis10\", \"setup\": \"adam_advhomo\"},\\\n",
    "        {\"label\": \"MR loss, missing=20%\", \"dataset\": \"hmc_30x30x100_mis20\", \"setup\": \"adam_mrhomo\"},\\\n",
    "        {\"label\": \"ADV loss, missing=20%\", \"dataset\": \"hmc_30x30x100_mis20\", \"setup\": \"adam_advhomo\"}\n",
    "     ]\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Select which experiment to show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp = exp_hmc\n",
    "#exp = exp_symbolic_sudoku\n",
    "#exp = exp_visual_sudoku"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Show results\n",
    "\n",
    "Tables show errors for particular number of training examples (rows) and data split (column). Two right most columns show mean and std over the splits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[testing error - hamming]\n",
      "MR  loss, missing=0%\n"
     ]
    },
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       "      <td>0.34142</td>\n",
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       "      <td>0.353046</td>\n",
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       "      <th>100</th>\n",
       "      <td>0.234128</td>\n",
       "      <td>0.239632</td>\n",
       "      <td>0.237246</td>\n",
       "      <td>0.238836</td>\n",
       "      <td>0.234968</td>\n",
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       "      <td>0.210172</td>\n",
       "      <td>0.209896</td>\n",
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       "             0         1         2         3         4      mean       std\n",
       "10    0.345074  0.370852   0.34142  0.356036  0.353046  0.353286  0.011450\n",
       "100   0.234128  0.239632  0.237246  0.238836  0.234968  0.236962  0.002384\n",
       "1000  0.209142  0.210604  0.211068  0.210172  0.209896  0.210176  0.000729"
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     "text": [
      "\n",
      "ADV loss, missing=0%\n"
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       "      <td>0.378924</td>\n",
       "      <td>0.369982</td>\n",
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       "      <th>100</th>\n",
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       "      <td>0.235662</td>\n",
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       "      <td>0.235484</td>\n",
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       "             0         1         2         3         4      mean       std\n",
       "10      0.3705  0.395678    0.3638  0.378924  0.369982  0.375777  0.012357\n",
       "100    0.23219  0.235662  0.234828  0.235484  0.232134  0.234060  0.001760\n",
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     "text": [
      "\n",
      "MR loss, missing=10%\n"
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       "      <th>10</th>\n",
       "      <td>0.350152</td>\n",
       "      <td>0.369152</td>\n",
       "      <td>0.341454</td>\n",
       "      <td>0.364906</td>\n",
       "      <td>0.331472</td>\n",
       "      <td>0.351427</td>\n",
       "      <td>0.015773</td>\n",
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       "      <th>100</th>\n",
       "      <td>0.24132</td>\n",
       "      <td>0.245874</td>\n",
       "      <td>0.247026</td>\n",
       "      <td>0.245136</td>\n",
       "      <td>0.242758</td>\n",
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       "      <td>0.21157</td>\n",
       "      <td>0.21124</td>\n",
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       "             0         1         2         3         4      mean       std\n",
       "10    0.350152  0.369152  0.341454  0.364906  0.331472  0.351427  0.015773\n",
       "100    0.24132  0.245874  0.247026  0.245136  0.242758  0.244423  0.002334\n",
       "1000  0.210562  0.212178  0.212448   0.21157   0.21124  0.211600  0.000752"
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      "\n",
      "ADV loss, missing=10%\n"
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       "      <td>0.368162</td>\n",
       "      <td>0.346502</td>\n",
       "      <td>0.372114</td>\n",
       "      <td>0.342314</td>\n",
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       "      <th>100</th>\n",
       "      <td>0.24007</td>\n",
       "      <td>0.243644</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.243024</td>\n",
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       "             0         1         2         3         4      mean       std\n",
       "10    0.345912  0.368162  0.346502  0.372114  0.342314  0.355001  0.013981\n",
       "100    0.24007  0.243644     0.244  0.243024  0.240204  0.242188  0.001906\n",
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      "\n",
      "MR loss, missing=20%\n"
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       "      <td>0.370752</td>\n",
       "      <td>0.323996</td>\n",
       "      <td>0.349944</td>\n",
       "      <td>0.318044</td>\n",
       "      <td>0.341138</td>\n",
       "      <td>0.021125</td>\n",
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       "      <th>100</th>\n",
       "      <td>0.252766</td>\n",
       "      <td>0.254112</td>\n",
       "      <td>0.257138</td>\n",
       "      <td>0.254284</td>\n",
       "      <td>0.255272</td>\n",
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       "      <th>1000</th>\n",
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       "      <td>0.213978</td>\n",
       "      <td>0.214282</td>\n",
       "      <td>0.213386</td>\n",
       "      <td>0.213736</td>\n",
       "      <td>0.213516</td>\n",
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       "             0         1         2         3         4      mean       std\n",
       "10    0.342954  0.370752  0.323996  0.349944  0.318044  0.341138  0.021125\n",
       "100   0.252766  0.254112  0.257138  0.254284  0.255272  0.254714  0.001622\n",
       "1000  0.212196  0.213978  0.214282  0.213386  0.213736  0.213516  0.000807"
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      "\n",
      "ADV loss, missing=20%\n"
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       "      <td>0.327462</td>\n",
       "      <td>0.356698</td>\n",
       "      <td>0.32895</td>\n",
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       "      <th>100</th>\n",
       "      <td>0.251056</td>\n",
       "      <td>0.251978</td>\n",
       "      <td>0.255138</td>\n",
       "      <td>0.251622</td>\n",
       "      <td>0.253722</td>\n",
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       "      <td>0.207992</td>\n",
       "      <td>0.207954</td>\n",
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       "             0         1         2         3         4      mean       std\n",
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       "100   0.251056  0.251978  0.255138  0.251622  0.253722  0.252703  0.001686\n",
       "1000  0.206756   0.20797  0.208426  0.207992  0.207954  0.207820  0.000626"
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      "text/plain": [
       "      0  1  2  3  4  mean  std\n",
       "10    1  1  1  1  1   1.0  0.0\n",
       "100   1  1  1  1  1   1.0  0.0\n",
       "1000  1  1  1  1  1   1.0  0.0"
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    {
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     "text": [
      "\n",
      "MR loss, missing=20%\n"
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       "      0  1    2    3  4  mean       std\n",
       "10    1  1  0.9  0.9  1  0.96  0.054772\n",
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       "      0  1  2  3  4  mean  std\n",
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    },
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     "data": {
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     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#results_root = \"/home/xfrancv/Work/ConsistentSurrogate/code/PyMaxSum/results/\"\n",
    "results_root = \"results/\"\n",
    "\n",
    "results = []\n",
    "for e in exp:\n",
    "    folder = f\"{results_root}{e['dataset']}/{e['setup']}/\"\n",
    "    results.append( ut.get_results( folder, lambda_range=(0,0) ) )\n",
    "    \n",
    "       \n",
    "plt.figure()\n",
    "print(\"[testing error - hamming]\")\n",
    "for i, e in enumerate( exp ):\n",
    "    results[i][\"tst_err\"][\"mean\"].plot(logx=True,label=e[\"label\"])\n",
    "    print( e[\"label\"] )\n",
    "    display( results[i][\"tst_err\"])\n",
    "    print(\"\")\n",
    "plt.grid('on')\n",
    "plt.title(\"test error - hamming\")\n",
    "plt.ylabel(\"test error [hamming]\")\n",
    "plt.xlabel('# training examples')\n",
    "plt.legend()\n",
    "    \n",
    "plt.figure()\n",
    "print(\"[training error - hamming]\")\n",
    "for i, e in enumerate( exp ):\n",
    "    results[i][\"trn_err\"][\"mean\"].plot(logx=True,label=e[\"label\"])\n",
    "    print( e[\"label\"])\n",
    "    display( results[i][\"trn_err\"])\n",
    "    print(\"\")\n",
    "plt.grid('on')\n",
    "plt.title(\"training error - hamming\")\n",
    "plt.ylabel(\"training error [hamming]\")\n",
    "plt.xlabel('# training examples')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "print(\"[testing error - 01]\")\n",
    "for i, e in enumerate( exp ):\n",
    "    results[i][\"tst_err_01\"][\"mean\"].plot(logx=True,label=e[\"label\"])\n",
    "    print( e[\"label\"])\n",
    "    display( results[i][\"tst_err_01\"])\n",
    "    print(\"\")\n",
    "plt.grid('on')\n",
    "plt.title(\"test error - 01\")\n",
    "plt.ylabel(\"test error [0/1]\")\n",
    "plt.xlabel('# training examples')\n",
    "plt.legend()\n",
    "\n",
    "plt.figure()\n",
    "print(\"[training error - 01]\")\n",
    "for i, e in enumerate( exp ):\n",
    "    results[i][\"trn_err_01\"][\"mean\"].plot(logx=True,label=e[\"label\"])\n",
    "    print( e[\"label\"])\n",
    "    display( results[i][\"trn_err_01\"])\n",
    "    print(\"\")\n",
    "plt.grid('on')\n",
    "plt.title(\"training error - 01\")\n",
    "plt.ylabel(\"training error [0/1]\")\n",
    "plt.xlabel('# training examples')\n",
    "plt.legend()\n",
    "\n",
    "\n",
    "plt.figure()\n",
    "for i, e in enumerate( exp ):\n",
    "    results[i][\"best_lambda\"][\"mean\"].plot(logx=True,label=e[\"label\"])\n",
    "plt.grid('on')\n",
    "plt.title(\"best lambda\")\n",
    "plt.legend()\n",
    "\n"
   ]
  }
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